Kate L. White

2.6k citations
46 papers · 1.5k indexed · h-index 19
Topics
Neuropeptides and Animal Physiology (14 papers)Receptor Mechanisms and Signaling (13 papers)Pancreatic function and diabetes (10 papers)

In The Last Decade

Kate L. White

45 papers receiving 1.5k citations

Peers

Kate L. White
Comparison fields: 5 of 114
  • Molecular Biology 1.0k
  • Cellular and Molecular Neuroscience 609
  • Biomedical Engineering 222
  • Radiology, Nuclear Medicine and Imaging 139
  • Surgery 135
Replace Paul S.‐H. Park with:
Paul S.‐H. Park United States
Stephen G. Brohawn United States
Kaleeckal G. Harikumar United States
Johannes Broichhagen Germany
Sohum Mehta United States
Damien Maurel France
Yun‐Bi Lu China
Chenbo Zeng United States
Edwin D.W. Moore Canada
Tilman Flock United Kingdom
Kate L. White relative to Paul S.‐H. Park United States Paul S.‐H. Park's profile →
Citations per field
00.5×4.4×
Paul S.‐H. Park · 1×
Citations per year

Countries citing papers authored by Kate L. White

Since Specialization
Citations

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

Fields of papers citing papers by Kate L. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate L. White. 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 Kate L. White. The network helps show where Kate L. White may publish in the future.

Co-authorship network of co-authors of Kate L. White

This figure shows the co-authorship network connecting the top 25 collaborators of Kate L. White. A scholar is included among the top collaborators of Kate L. White 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 Kate L. White. Kate L. White 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
#WorkIndexed citations
1 0
2 1
3 4
4 3
5 3
6 1
7 2
8 25
9 2
10 32
11 25
12 40
13 40
14 86
15 51
16 124
17 164
18 96
19 72
20 10

About Kate L. White

Kate L. White is a scholar working on Structural Biology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (14 papers), Receptor Mechanisms and Signaling (13 papers) and Pancreatic function and diabetes (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (609 citations), Structural Biology (25 citations) and Physiology (78 citations). Kate L. White has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Raymond C. Stevens, Bryan L. Roth, Richard O. C. Oreffo, Kurt Wüthrich, Vsevolod Katritch, Jordan K. Zjawiony, Prabhakar R. Polepally, Matthew J. Dalby, Gye Won Han and Nikolaj Gadegaard. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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