Jennifer R. Gamble

17.5k citations
157 papers · 14.4k indexed · 5 hit papers · h-index 64
Topics
Cell Adhesion Molecules Research (54 papers)Angiogenesis and VEGF in Cancer (25 papers)Sphingolipid Metabolism and Signaling (20 papers)

In The Last Decade

Jennifer R. Gamble

156 papers receiving 13.8k citations

Hit Papers

Stimulation of the adherence of neutrophils to umbilical ...198520261998201219851988198619951986250500750

Peers

Jennifer R. Gamble
Comparison fields: 5 of 140
  • Molecular Biology 6.0k
  • Immunology 4.8k
  • Immunology and Allergy 2.2k
  • Physiology 1.9k
  • Surgery 1.7k
Replace Mathew A. Vadas with:
Mathew A. Vadas Australia
Myron I. Cybulsky Canada
Emilio Hirsch Italy
Francis W. Luscinskas United States
Victor W.M. van Hinsbergh Netherlands
Sirpa Jalkanen Finland
Tucker Collins United States
John Westwick United Kingdom
Christopher Haslett United Kingdom
Chikao Morimoto United States
Jennifer R. Gamble relative to Mathew A. Vadas Australia Mathew A. Vadas's profile →
Citations per field
00.5×1.5×
Mathew A. Vadas · 1×
Citations per year

Countries citing papers authored by Jennifer R. Gamble

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer R. Gamble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer R. Gamble

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer R. Gamble. A scholar is included among the top collaborators of Jennifer R. Gamble 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 Jennifer R. Gamble. Jennifer R. Gamble 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 2
2 1
3 42
4 1
5 16
6 23
7 30
8 50
9 44
10 5
11 16
12 33
13 136
14 75
15 235
16 71
17 347
18 252
19 10
20
Recombinant human interleukin 5 is a selective activator of human eosinophil function.breakdown →
809

About Jennifer R. Gamble

Jennifer R. Gamble is a scholar working on Immunology and Allergy, Immunology and Cancer Research, having authored 157 papers that have together received 14.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (54 papers), Angiogenesis and VEGF in Cancer (25 papers) and Sphingolipid Metabolism and Signaling (20 papers). The work is most often cited by research in Immunology and Allergy (2.2k citations), Immunology (4.8k citations) and Cancer Research (1.5k citations). Jennifer R. Gamble has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Mathew A. Vadas, M A Vadas, John M. Harlan, S J Klebanoff, Pu Xia, Angel F. López, Philip J. Barter, Kerry‐Anne Rye, Yeesim Khew‐Goodall and Gillian Cockerill. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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