Caroline Kumsta

2.6k total citations
27 papers, 1.9k citations indexed

About

Caroline Kumsta is a scholar working on Aging, Epidemiology and Molecular Biology. According to data from OpenAlex, Caroline Kumsta has authored 27 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Aging, 17 papers in Epidemiology and 11 papers in Molecular Biology. Recurrent topics in Caroline Kumsta's work include Genetics, Aging, and Longevity in Model Organisms (19 papers), Autophagy in Disease and Therapy (17 papers) and Sirtuins and Resveratrol in Medicine (4 papers). Caroline Kumsta is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (19 papers), Autophagy in Disease and Therapy (17 papers) and Sirtuins and Resveratrol in Medicine (4 papers). Caroline Kumsta collaborates with scholars based in United States, Spain and Germany. Caroline Kumsta's co-authors include Malene Hansen, Jessica T. Chang, Ursula Jakob, Louis R. Lapierre, Andrea Ballabio, Marco Sandri, Maike Thamsen, Andrew B Hellman, Andrew Davis and Sara Gelino and has published in prestigious journals such as Cell, Nature Communications and PLoS ONE.

In The Last Decade

Caroline Kumsta

25 papers receiving 1.9k citations

Peers

Caroline Kumsta
Comparison fields: 5 of 109
  • Molecular Biology 900
  • Aging 815
  • Epidemiology 639
  • Physiology 311
  • Cell Biology 250
Replace Jessica T. Chang with:
Jessica T. Chang United States
Amrita M. Nargund United States
Eirini Lionaki Greece
Wei‐Chung Chiang United States
Georges E. Janssens Netherlands
Lindsay E. Wu Australia
James C. Jiang United States
Kathrin Schmeißer Germany
Virginija Jovaisaite Switzerland
Nanami Senoo‐Matsuda Japan
Jessica T. Chang United States View profile →
Citations per field, relative to Caroline Kumsta
Caroline Kumsta · 1×
Citations per year, relative to Caroline Kumsta
Caroline Kumsta · 1×

Countries citing papers authored by Caroline Kumsta

Since Specialization
Citations

This map shows the geographic impact of Caroline Kumsta'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 Caroline Kumsta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Kumsta more than expected).

Fields of papers citing papers by Caroline Kumsta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline Kumsta. 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 Caroline Kumsta. The network helps show where Caroline Kumsta may publish in the future.

Co-authorship network of co-authors of Caroline Kumsta

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Kumsta. A scholar is included among the top collaborators of Caroline Kumsta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Caroline Kumsta. Caroline Kumsta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 0
4 22
5 15
6 20
7 6
8 106
9 148
10 68
11 181
12 206
13 39
14 38
15 151
16 274
17 109
18 92
19 34
20 113

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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