Caitlin Bell

1.1k citations
26 papers · 742 · h-index 12

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence

Papers in

Caitlin Bell

23 papers receiving 723 citations

Peers

Caitlin Bell
Comparison fields: 5 of 74
  • Aging 45
  • Physiology 262
  • Anesthesiology and Pain Medicine 47
  • Neurology 81
  • Molecular Biology 349
Replace Philipp Hillmeister with:
Philipp Hillmeister Germany
Lili Huang China
Laura Guarnaccia Italy
Daniel P. Reay United States
Amir Aghajanian United States
Eva María Blanco Spain
Rita H. Najor United States
Xiuhua Yao China
Stéphan Clavel France
Emmanuelle Saint‐Germain Canada
Caitlin Bell relative to Philipp Hillmeister Germany Philipp Hillmeister's profile →
Citations per field
00.5×2×4×6.8×
Philipp Hillmeister · 1×
Citations per year

Countries citing papers authored by Caitlin Bell

Since Specialization
Citations

This map shows the geographic impact of Caitlin Bell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Caitlin Bell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caitlin Bell more than expected).

Fields of papers citing papers by Caitlin Bell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caitlin Bell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Caitlin Bell. The network helps show where Caitlin Bell may publish in the future.

Co-authors

The 25 scholars most cited alongside Caitlin Bell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Caitlin Bell Line = papers co-authored together Caitlin Bell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012275
2 2018111
3 202385
4 198537
5 198430
6 198530
7 198526
8 202423
9 201721
10 201920
11 202319
12 198617
13
Neoadjuvant and Adjuvant Chemotherapy Considerations for Triple-Negative Breast Cancer
20168
14 20238
15 20238
16 20175
17 20184
18 20224
19 20244
20 20253

About Caitlin Bell

Caitlin Bell is a scholar working on Cancer Research, Neurology, Immunology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 742 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Immune cells in cancer (3 papers), Cancer, Lipids, and Metabolism (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Cancer Genomics and Diagnostics (2 papers), Phagocytosis and Immune Regulation (2 papers), Ferroptosis and cancer prognosis (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Aging (45 citations), Physiology (262 citations), Anesthesiology and Pain Medicine (47 citations), Neurology (81 citations) and Molecular Biology (349 citations). Caitlin Bell has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Leslie Anne Leinwand, Arthur J. Zaug, Jayakrishnan Nandakumar, Thomas R. Cech, Ina Weidenfeld, RONALD S. JONES, J.E. Utting, Jennifer M. Hunter, Nicholas J. Leeper and Lingfeng Luo. Their work appears in journals such as Anaesthesia, British Journal of Anaesthesia, Stroke, iScience and The Journal of Clinical Endocrinology & Metabolism.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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