Cell Death and Disease

Top Research Topics at Cell Death and Disease?

The journal facilitates discussions on Cancer research, Cell biology, Apoptosis, Downregulation and upregulation and Programmed cell death. The work on Cancer research tackled in the journal brings together disciplines like Cancer cell, Cancer, Metastasis, Cell growth and Gene knockdown. Cell Death and Disease explores issues in Cell growth which can be linked to other research areas like Carcinogenesis and Cell cycle.

The Gene knockdown study featured in it draws parallels with the field of Regulation of gene expression. The close relationship between Autophagy and PI3K/AKT/mTOR pathway is one of the points of interest dissected in Cell biology research. In addition to Apoptosis research, Cell Death and Disease aims to explore topics under Cell culture, Cell, Immunology and In vivo.

In the journal, Gene silencing and microRNA are investigated in conjunction with one another to address concerns in Downregulation and upregulation research. The majority of Programmed cell death studies presented zero in on Necroptosis. The work on Signal transduction presented in the journal focuses on Protein kinase B in particular.

• Cancer research (44.35%)
• Cell biology (39.63%)
• Apoptosis (21.09%)

What are the most cited papers published in the journal?

• Autophagy and chemotherapy resistance: a promising therapeutic target for cancer treatment (719 citations)
• Targeting cellular metabolism to improve cancer therapeutics (696 citations)
• ROS homeostasis and metabolism: a dangerous liason in cancer cells. (541 citations)

Research areas of the most cited articles at Cell Death and Disease:

The journal papers are organized to reinforce research efforts on Cell biology, Cancer research, Apoptosis, Programmed cell death and Signal transduction. The journal papers explore issues in Cell biology which can be linked to other research areas like Autophagy and Molecular biology. The studies on Cancer research discussed at the most cited articles can also contribute to research in the domains of Cell growth, Gene knockdown, Cancer cell, Downregulation and upregulation and microRNA.

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 Cell Death and Disease (based on the number of publications) are:

• Guido Kroemer (41 papers) published 6 papers at the last edition, 2 less than at the previous edition,
• Gerry Melino (28 papers) published 3 papers at the last edition, 1 less than at the previous edition,
• Peter Vandenabeele (23 papers) published 2 papers at the last edition, 1 less than at the previous edition,
• Andreas Strasser (22 papers) absent at the last edition,
• Simone Fulda (21 papers) published 1 paper at the last edition the same number as 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 Cell Death and Disease (based on the number of publications) are:

• Shanghai Jiao Tong University (390 papers) published 79 papers at the last edition, 18 more than at the previous edition,
• Sun Yat-sen University (261 papers) published 50 papers at the last edition, 2 less than at the previous edition,
• Nanjing Medical University (241 papers) published 39 papers at the last edition, 14 less than at the previous edition,
• Fudan University (241 papers) published 51 papers at the last edition, 11 more than at the previous edition,
• Chinese Academy of Sciences (214 papers) published 40 papers at the last edition, 10 more 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, 1.25% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 38.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.84% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.42% of all publications and 34.74% 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.

Career Opportunities for Research Graduates

Graduating with a degree in cell, cancer or molecular biology opens up a wide range of career possibilities for professionals, both within academic research and in other fields. A career in academic research often starts with furthering your education at a prestigious institution like a medical assistant school in Wyoming, before perhaps moving on to a post-doctoral position. Here, you can continue to develop your skills in research design and data analysis, and potentially get opportunities to supervise junior researchers and students.

In addition to academic research, other lucrative fields for a cell and molecular biology graduate or a cancer researcher include pharmaceuticals, healthcare consulting, health policy, science writing, medical science liaison roles, and even the digital health space or biotechnology sector, where professionals apply their knowledge practically to develop new drugs, therapies and diagnostic tests. The skills developed during research - problem-solving, attention to detail, data analysis – are highly transferable and highly valued in these fields.

Whichever career path you choose, remember that the impact of your research extends far beyond scientific understanding - it has the potential to inform public health policy, influence industry practices, and ultimately, improve patient care and outcomes in diseases such as cancer.