G Barski

1.4k citations
100 papers · 1.2k · h-index 19

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Cancer Research and Treatments

Papers in

    • Virus-based gene therapy research 29
    • Immunotherapy and Immune Responses 11

G Barski

85 papers receiving 940 citations

Peers

G Barski
Comparison fields: 5 of 100
  • Immunology 311
  • Biotechnology 104
  • Genetics 300
  • Oncology 257
  • Animal Science and Zoology 97
Replace A. J. Hackett with:
A. J. Hackett United States
F Horodniceanu France
Ludwik Gross United States
P. Koldovský Germany
Thomas G. Kawakami United States
S Yasumoto Japan
Gail Henderson United States
Robert W. Rongey United States
R. B. Carroll United States
Denise R. Shaw United States
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Citations per field
00.5×1.5×
A. J. Hackett · 1×
Citations per year

Countries citing papers authored by G Barski

Since Specialization
Citations

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

Fields of papers citing papers by G Barski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1961122
2 196994
3 197280
4 196261
5 197156
6 196542
7 196336
8 195534
9 196633
10 196632
11
[Production of cells of a "hybrid" nature in culturs in vitro of 2 cellular strains in combination].
196030
12 195929
13 197326
14 196226
15 197326
16 197120
17 196519
18 196618
19 196418
20 197917

About G Barski

G Barski is a scholar working on Genetics, Immunology, Cardiology and Cardiovascular Medicine, Infectious Diseases and Molecular Biology, having authored 100 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (29 papers), Viral Infections and Immunology Research (19 papers), Immunotherapy and Immune Responses (11 papers), Animal Virus Infections Studies (10 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers), Cancer Cells and Metastasis (7 papers), Cancer Research and Treatments (7 papers) and Viral gastroenteritis research and epidemiology (6 papers). The work is most often cited by research in Immunology (311 citations), Biotechnology (104 citations), Genetics (300 citations), Oncology (257 citations) and Animal Science and Zoology (97 citations). G Barski has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Jung Koo Youn, Jean Belehradek, R Robineaux, Miyoko Endo, P Lépine, W. Bernhard, B Halpern, June L. Biedler, Tsunataro Kíshida and Claude Bohuon. Their work appears in journals such as JNCI Journal of the National Cancer Institute, International Journal of Cancer, Experimental Biology and Medicine, Experimental Cell Research and Virology.

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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