Kathryn Feigenbaum

517 citations
14 papers · 384 · h-index 8

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 5
    • Polyamine Metabolism and Applications 2
    • Neuroendocrine Tumor Research Advances 4

Kathryn Feigenbaum

14 papers receiving 355 citations

Peers

Kathryn Feigenbaum
Comparison fields: 5 of 64
  • Gastroenterology 53
  • Neurology 133
  • Epidemiology 220
  • Oncology 108
  • Issues, ethics and legal aspects 3
Replace J.-H. Kim with:
J.-H. Kim South Korea
Saeed Taheri Iran
H Bosseckert Germany
Timothy W. Bodnar United States
Bo‐Guen Kim South Korea
Kameswara Rishi Yeshayahu Nistala Singapore
Lana Bistritz Canada
Carlos Fernández‐Carrillo Spain
Jeffery Wei Heng Koh Singapore
Aunchalee Jaroenlapnopparat United States
Kathryn Feigenbaum relative to J.-H. Kim South Korea J.-H. Kim's profile →
Citations per field
00.5×8.3×
J.-H. Kim · 1×
Citations per year

Countries citing papers authored by Kathryn Feigenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn Feigenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Kathryn Feigenbaum, 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 Kathryn Feigenbaum Line = papers co-authored together Kathryn Feigenbaum links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200194
2 199282
3 199371
4 199346
5 199332
6 201617
7 199511
8 20107
9 20186
10 20066
11 19984
12 19974
13 20153
14 20101

About Kathryn Feigenbaum

Kathryn Feigenbaum is a scholar working on Molecular Biology, Epidemiology, General Health Professions, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 384 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Neuroendocrine Tumor Research Advances (4 papers), Health Sciences Research and Education (2 papers), Polyamine Metabolism and Applications (2 papers), Diabetes Management and Research (1 paper), Diet and metabolism studies (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper) and Diverse Approaches in Healthcare and Education Studies (1 paper). The work is most often cited by research in Gastroenterology (53 citations), Neurology (133 citations), Epidemiology (220 citations), Oncology (108 citations) and Issues, ethics and legal aspects (3 citations). Kathryn Feigenbaum has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Robert T. Jensen, David C. Metz, Joseph R. Pisegna, Fathia Gibril, Doris B. Strader, Praveen K. Roy, David Venzon, Murray Orbuch, Vitaly A. Fishbeyn and Richard V. Benya. Their work appears in journals such as Alimentary Pharmacology & Therapeutics, Medicine, JONA The Journal of Nursing Administration, Gastroenterology and Western Journal of Nursing Research.

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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