Jesse Charney

2.4k citations
42 papers · 974 · h-index 16

Impact in

Papers in

Jesse Charney

41 papers receiving 790 citations

Peers

Jesse Charney
Comparison fields: 5 of 101
  • Animal Science and Zoology 112
  • Genetics 269
  • Infectious Diseases 177
  • Immunology 176
  • Microbiology 5
Replace W. W. Ackermann with:
W. W. Ackermann United States
A Graffi Germany
Alexis J. Kniazeff United States
M. H. Salaman United Kingdom
Sujata Manam United States
Ralph E. Smith United States
H. B. Levy United States
Robert H. Schloemer United States
Robert Z. Maigetter United States
Brian J. Ledwith United States
Jesse Charney relative to W. W. Ackermann United States W. W. Ackermann's profile →
Citations per field
00.5×8.6×
W. W. Ackermann · 1×
Citations per year

Countries citing papers authored by Jesse Charney

Since Specialization
Citations

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

Fields of papers citing papers by Jesse Charney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971168
2 1972141
3 1951104
4 195777
5 197145
6 196134
7
Effect of human milk on the mouse mammary tumor virus.
197333
8 196925
9 197624
10
Xanthothricin, a new antibiotic.
195423
11 197422
12
Streptogramin, a new antibiotic.
195322
13 196421
14 197118
15 196416
16
Some physical and biological characteristics of the mouse mammary tumor virus.
197316
17 196914
18 196914
19 197013
20 195713

About Jesse Charney

Jesse Charney is a scholar working on Genetics, Infectious Diseases, Molecular Biology, Animal Science and Zoology and Immunology, having authored 42 papers that have together received 974 indexed citations. Recurring topics across this work include Virus-based gene therapy research (16 papers), Viral gastroenteritis research and epidemiology (10 papers), Animal Virus Infections Studies (9 papers), Viral Infections and Immunology Research (7 papers), Immunotherapy and Immune Responses (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Insect Resistance and Genetics (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Animal Science and Zoology (112 citations), Genetics (269 citations), Infectious Diseases (177 citations), Immunology (176 citations) and Microbiology (5 citations). Jesse Charney has collaborated with scholars based in United States, Belgium and India. Frequent co-authors include Dan H. Moore, Arthur E. Greene, L.L. Coriell, Nurul H. Sarkar, Warren W. Nichols, Chris Hegarty, Bernhard Kramarsky, Etienne Y. Lasfargues, J. C. Paymaster and Satyavati M. Sirsat. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Nature, Virology, Experimental Biology and Medicine and JAMA.

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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