Jennifer E. Klomp

2.5k citations
14 papers · 472 · h-index 11

Impact in

  • Cell Biology top 10%
    • Caveolin-1 and cellular processes
    • Cellular Mechanics and Interactions
    • Hippo pathway signaling and YAP/TAZ
    • Erythrocyte Function and Pathophysiology

Papers in

    • Hippo pathway signaling and YAP/TAZ 3
    • Microtubule and mitosis dynamics 2
    • Cellular Mechanics and Interactions 2
    • Protein Kinase Regulation and GTPase Signaling 4
    • Angiogenesis and VEGF in Cancer 2
    • Ubiquitin and proteasome pathways 1

Jennifer E. Klomp

14 papers receiving 468 citations

Peers

Jennifer E. Klomp
Comparison fields: 5 of 72
  • Cell Biology 153
  • Physiology 113
  • Molecular Biology 258
  • Immunology and Allergy 20
  • Cancer Research 30
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Frida Danielsson Sweden
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Stéphane Frémont France
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Citations per field
00.5×3.3×
Frida Danielsson · 1×
Citations per year

Countries citing papers authored by Jennifer E. Klomp

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer E. Klomp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer E. Klomp. 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 Jennifer E. Klomp. The network helps show where Jennifer E. Klomp may publish in the future.

Co-authors

The 25 scholars most cited alongside Jennifer E. Klomp, 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 Jennifer E. Klomp Line = papers co-authored together Jennifer E. Klomp links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2018122
2 2016110
3 200842
4 202341
5 202136
6 200932
7 201925
8 202121
9 201912
10 202012
11 201610
12 20235
13 20203
14 20171

About Jennifer E. Klomp

Jennifer E. Klomp is a scholar working on Cell Biology, Molecular Biology, Oncology, Epidemiology and Physiology, having authored 14 papers that have together received 472 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Microtubule and mitosis dynamics (2 papers), Cellular Mechanics and Interactions (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cell Biology (153 citations), Physiology (113 citations), Molecular Biology (258 citations), Immunology and Allergy (20 citations) and Cancer Research (30 citations). Jennifer E. Klomp has collaborated with scholars based in United States, Italy and Russia. Frequent co-authors include Asrar B. Malik, Andrei V. Karginov, Jeffrey A. Klomp, Channing J. Der, Hojin Kang, Dolly Mehta, Guochang Hu, Ming Zhong, Kayla J. Bayless and Zhigang Hong. Their work appears in journals such as Journal of Biological Chemistry, Journal of Virology, Journal of Avian Biology, The Journal of Cell Biology and Biochemical Society Transactions.

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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