Jennifer Powers

1.2k citations
36 papers · 859 · h-index 16

Impact in

Papers in

    • Receptor Mechanisms and Signaling 2
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 3

Jennifer Powers

35 papers receiving 836 citations

Peers

Jennifer Powers
Comparison fields: 5 of 98
  • Virology 52
  • Cellular and Molecular Neuroscience 192
  • Immunology 184
  • Infectious Diseases 125
  • Neurology 35
Replace Bénédicte Héron with:
Bénédicte Héron France
Jonathan W. Nyce United States
Sudhir Gupta United States
Vincent S. Gallicchio United States
Hugh Salter Sweden
Jinsheng He China
Juan Carlos Arango Colombia
Seyha Seng United States
Cristin Davidson United States
Antonin Lamazière France
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Citations per field
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Citations per year

Countries citing papers authored by Jennifer Powers

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Powers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998224
2 2021114
3 201966
4 200550
5 202046
6 200445
7 201142
8 200725
9 200725
10 197925
11 202224
12 200724
13 202123
14 201619
15 201216
16 201815
17 202410
18 20108
19 20218
20 20058

About Jennifer Powers

Jennifer Powers is a scholar working on Molecular Biology, Immunology, Hematology, Infectious Diseases and Physiology, having authored 36 papers that have together received 859 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Hematopoietic Stem Cell Transplantation (3 papers), T-cell and B-cell Immunology (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Various Chemistry Research Topics (3 papers), Receptor Mechanisms and Signaling (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Virology (52 citations), Cellular and Molecular Neuroscience (192 citations), Immunology (184 citations), Infectious Diseases (125 citations) and Neurology (35 citations). Jennifer Powers has collaborated with scholars based in United States, Germany and Portugal. Frequent co-authors include Stephen F. Traynelis, Fang Zheng, Michele Burgess, Polina Lyuboslavsky, Samuel M. Behar, Palmira Barreira‐Silva, Yu‐Jung Lu, Christina E. Baer, Jinhee Lee and Christopher M. Sassetti. Their work appears in journals such as Blood, Journal of Neuroinflammation, Experimental Hematology, Journal of Neuroscience and mBio.

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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