Katherine E. Conant

5k citations
83 papers · 4.3k · h-index 38

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
  • Neurology top 1%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Barrier Structure and Function Studies

Papers in

Katherine E. Conant

83 papers receiving 4.2k citations

Peers

Katherine E. Conant
Comparison fields: 5 of 99
  • Virology 1.5k
  • Neurology 592
  • Cellular and Molecular Neuroscience 796
  • Developmental Neuroscience 153
  • Cancer Research 420
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Citations per field
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Citations per year

Countries citing papers authored by Katherine E. Conant

Since Specialization
Citations

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

Fields of papers citing papers by Katherine E. Conant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998512
2 1999322
3 1999185
4 1994164
5 2002161
6 2004147
7 2006122
8 1996119
9 2009115
10 2004114
11 2001105
12 201099
13 200798
14 200171
15 200571
16 200670
17 200069
18 201866
19 200465
20 202063

About Katherine E. Conant

Katherine E. Conant is a scholar working on Virology, Cellular and Molecular Neuroscience, Cancer Research, Neurology and Pharmacology, having authored 83 papers that have together received 4.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (27 papers), Neuroscience and Neuropharmacology Research (20 papers), Protease and Inhibitor Mechanisms (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Treatment of Major Depression (6 papers), Alzheimer's disease research and treatments (5 papers), Memory and Neural Mechanisms (5 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Virology (1.5k citations), Neurology (592 citations), Cellular and Molecular Neuroscience (796 citations), Developmental Neuroscience (153 citations) and Cancer Research (420 citations). Katherine E. Conant has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Eugene O. Major, Avindra Nath, Justin C. McArthur, Christopher Power, Robert C. Gallo, Alfredo Garzino Demo, WILLIAM C. HALLIDAY, Peiqin Chen, Coryse St. Hillaire and Carlo Tornatore. Their work appears in journals such as Journal of Neurochemistry, Journal of NeuroVirology, Journal of Neuroscience, Journal of Neuroimmunology and Experimental Neurology.

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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