1109-6535
Published by: International Institute of Anticancer Research
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Medicine | 1841 | 41 | 93 | 14 |
Cancer Genomics & Proteomics primarily focuses on research topics in Cancer research, Cancer, Internal medicine, Gene and Oncology. The research on Cancer research featured in Cancer Genomics & Proteomics combines topics in other fields like Immunohistochemistry, Pathology, Cell culture, Cancer cell and Metastasis. Cancer study tackled is connected to the field of Bioinformatics.
Cancer Genomics & Proteomics explores issues in Internal medicine which can be linked to other research areas like Endocrinology and Genotype. The work tackled in it goes beyond the discipline of Genotype as it also encompasses Allele. The studies tackled, which mainly focus on Gene, apply to Molecular biology as well.
Cancer Genomics & Proteomics focused on Molecular biology research but expanded to cover Proteomics. It features Oncology research that overlaps with concepts in Biomarker (medicine).
The most cited publications generally zeroe in on subjects such as Cancer research, Cancer, Internal medicine, Oncology and Metastasis. While the journal papers focused on Cancer research, they were also able to explore topics like Cancer cell, Gene expression, Immunology and Microvesicles. While Cancer is the focus of the journal publications, it also provides insights into the studies of Molecular biology, Bioinformatics and Pathology.
The journal mostly deals with topics like Cancer research, Cancer, Oncology, Internal medicine and Apoptosis. In the journal, Protein kinase B, microRNA, Metastasis, Lung cancer and Kinase are investigated in conjunction with one another to address concerns in Cancer research research. It features studies on Cancer, including topics such as Cancer cell.
In addition to Oncology research, it aims to explore topics under Radioresistance, Radiation therapy, CDKN2A, Genotype and Colorectal cancer. Internal medicine research discussed connects with the study of Precision medicine. Topics in Apoptosis explored in it were investigated in conjunction with research in Clinical prognosis and Pathogenesis.
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.
The top authors publishing in Cancer Genomics & Proteomics (based on the number of publications) are:
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.
Only papers with recognized affiliations are considered
The top affiliations publishing in Cancer Genomics & Proteomics (based on the number of publications) are:
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.
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, 3.70% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.69% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.38% of all publications and 36.54% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Ioannis Panagopoulos;Ludmila Gorunova;Kristin Andersen;Marius Lund-Iversen
(2020)Takashi Higuchi;Takashi Higuchi;Jun Yamamoto;Norihiko Sugisawa;Yoshihiko Tashiro
(2020)Nefeli Lagopati;Nefeli Lagopati;Nefeli Lagopati;Athanassios Kotsinas;Dimitris Veroutis;Dimitris Veroutis;Konstantinos Evangelou
(2021)Yusuke Aoki;Yusuke Aoki;Jun Yamamoto;Jun Yamamoto;Yasunori Tome;Kazuyuki Hamada
(2021)Zhiwei Sun;Shuo Cai;Chang Liu;Yuxin Cui
(2020)Akihiro Kitagawa;Akihiro Kitagawa;Takaaki Masuda;Junichi Takahashi;Taro Tobo
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