Cancer Epidemiology Biomarkers and Prevention

Top Research Topics at Cancer Epidemiology, Biomarkers & Prevention?

The topics of Internal medicine, Cancer, Oncology, Breast cancer and Odds ratio are the focal point of discussions in the journal. In addition to Internal medicine research, the journal aims to explore topics under Gastroenterology and Endocrinology. While work presented in the journal provided substantial information on Cancer, it also covered topics in Gynecology, Gerontology, Confidence interval and Pathology.

Topics in Gynecology explored in it were investigated in conjunction with research in Cervical cancer and Obstetrics. Cancer Epidemiology, Biomarkers & Prevention deals with Gerontology in conjunction with other fields like

• Health equity most often made with reference to Ethnic group,

• Demography that connect with fields like Incidence (epidemiology).. Oncology is the main point of discussion in the journal but it also connects with fields such as

• Prospective cohort study together with Cohort study,

• Proportional hazards model together with Hazard ratio..

The journal connects the study in Breast cancer with the closely related area of Body mass index. The tackled Odds ratio research is interrelated with Genotype which concerns subjects like Allele. Issues in Risk factor were discussed, taking into consideration concepts from other disciplines like Surgery, Relative risk and Epidemiology.

• Internal medicine (46.69%)
• Cancer (39.07%)
• Oncology (24.00%)

What are the most cited papers published in the journal?

• Global Patterns of Cancer Incidence and Mortality Rates and Trends (2040 citations)
• Global Cancer Incidence and Mortality Rates and Trends—An Update (1806 citations)
• Human Papillomavirus Types in Head and Neck Squamous Cell Carcinomas Worldwide: A Systematic Review (1729 citations)

Research areas of the most cited articles at Cancer Epidemiology, Biomarkers & Prevention:

The journal publications focus on Internal medicine, Cancer, Risk factor, Odds ratio and Oncology. While Internal medicine is the focus of the most cited articles, it also provides insights into the studies of Gastroenterology and Endocrinology. The published articles explore research in Incidence (epidemiology) and overlapping concepts in Demography to expand the discourse in Cancer.

What topics the last edition of the journal is best known for?

• Internal medicine
• Cancer
• Gene

The previous edition focused in particular on these issues:

Cancer Epidemiology, Biomarkers & Prevention is mainly concerned with subjects like Internal medicine, Confidence interval, Cancer, Oncology and Breast cancer. Research on Internal medicine presented in the journal focuses, in particular, on Proportional hazards model, Colorectal cancer, Cohort, Incidence (epidemiology) and Body mass index. In the journal, Odds ratio, Logistic regression, Disease and Obstetrics are investigated in conjunction with one another to address concerns in Confidence interval research.

Cancer research in Cancer Epidemiology, Biomarkers & Prevention involves the investigation of Demography studies, all of which are linked to disciplines such as Socioeconomic status. The studies on Oncology discussed can also contribute to research in the domains of Mendelian randomization, Ovarian cancer, Biomarker (medicine), Prospective cohort study and Single-nucleotide polymorphism. It dives deep in exploring the relationship between the study of Breast cancer and Physiology.

The most cited articles from the last journal are:

• Neighborhood-Level Redlining and Lending Bias Are Associated with Breast Cancer Mortality in a Large and Diverse Metropolitan Area. (11 citations)
• Modeled Reductions in Late-stage Cancer with a Multi-Cancer Early Detection Test. (10 citations)
• Could HPV Testing on Self-collected Samples Be Routinely Used in an Organized Cervical Screening Program? A Modeled Analysis. (8 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Cancer Epidemiology, Biomarkers & Prevention (based on the number of publications) are:

• Edward Giovannucci (163 papers) published 8 papers at the last edition the same number as at the previous edition,
• John D. Potter (160 papers) published 2 papers at the last edition, 2 less than at the previous edition,
• Loic Le Marchand (146 papers) published 4 papers at the last edition, 23 less than at the previous edition,
• Wei Zheng (135 papers) published 5 papers at the last edition, 2 less than at the previous edition,
• Walter C. Willett (132 papers) published 2 papers at the last edition, 1 more than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Cancer Epidemiology, Biomarkers & Prevention (based on the number of publications) are:

• National Institutes of Health (801 papers) published 10 papers at the last edition, 22 less than at the previous edition,
• Harvard University (723 papers) published 37 papers at the last edition, 8 less than at the previous edition,
• Fred Hutchinson Cancer Research Center (642 papers) published 25 papers at the last edition, 5 less than at the previous edition,
• University of Southern California (410 papers) published 12 papers at the last edition, 12 less than at the previous edition,
• University of Washington (383 papers) published 11 papers at the last edition, 10 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 9.77% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 40.07% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.88% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.41% of all publications and 25.63% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Intersection of Nursing and Cancer Research

One interesting aspect that the article failed to cover is the intersection of nursing and cancer research. Although Oncology is a prominent field, there's a growing interest in exploring cancer epidemiology and prevention through the lens of nursing. Studies indicate an increasing trend wherein registered nurses (RNs) are making notable contributions to cancer research through their unique understating of patient care. These contributions constitute an evolving approach towards understanding and combating cancer. A study found that among various healthcare professionals, nurses interact with cancer patients most frequently, thereby providing a unique perspective into understanding the disease's progression. Through this, they can assist in developing effective prevention strategies. This has led to nursing becoming an important component in cancer research. Additionally, best online nursing programs in Oklahoma are setting a high standard in properly equipping their students in advanced healthcare education, setting them on course to dive into research niches like Cancer Epidemiology, Biomarkers & Prevention. These programs emphasis on research methodology, understanding of Oncology, Gynecology, and Internal medicine, and teach how to leverage the extensive nursing experience for patient-centric research. Incorporating nursing into cancer research provides an essential pathway towards better understanding this complex disease. Future research will benefit greatly from exploiting this integration. We may yet discover groundbreaking findings and methods of prevention by viewing cancer through the compassionate and holistic lens of nursing.