Brian Tomkowicz

22 papers receiving 1.8k citations

Brian Tomkowicz's Hit Papers

Adeno-Associated Virus (AAV) as a Vector for Gene Therapy 2017 · 966 citations
9660+3+6Years since publication250500750

Peers

Brian Tomkowicz
Comparison fields: 5 of 103
  • Virology 252
  • Genetics 496
  • Immunology 336
  • Molecular Biology 914
  • Oncology 303
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Nelly Noraz France
Deirdre D. Scripture-Adams United States
G J Rosman United States
Louise Barnett United States
Robinson Triboulet United States
Uimook Choi United States
Yasushi Soda Japan
Dea Nagy United States
Jean Michel Heard France
Winfried Krueger United States
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Citations per field
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Citations per year

Countries citing papers authored by Brian Tomkowicz

Since Specialization
Citations

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

Fields of papers citing papers by Brian Tomkowicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Adeno-Associated Virus (AAV) as a Vector for Gene Therapy
Hit paper breakdown →
2017966
2 2007118
3 2003112
4 200968
5 201068
6 200566
7 201164
8 201558
9 200351
10 200649
11 200839
12 200636
13 200034
14 200818
15 200118
16 200217
17 201616
18 200513
19 19978
20 20048

About Brian Tomkowicz

Brian Tomkowicz is a scholar working on Oncology, Virology, Immunology, Molecular Biology and Infectious Diseases, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), Chemokine receptors and signaling (6 papers), HIV/AIDS drug development and treatment (5 papers), Cell Adhesion Molecules Research (5 papers), Galectins and Cancer Biology (3 papers), Immune Cell Function and Interaction (3 papers), Inflammation biomarkers and pathways (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Virology (252 citations), Genetics (496 citations), Immunology (336 citations), Molecular Biology (914 citations) and Oncology (303 citations). Brian Tomkowicz has collaborated with scholars based in United States, South Africa and India. Frequent co-authors include Michael Naso, William L. Perry, William R. Strohl, Ronald G. Collman, ChuHee Lee, Andrzej Ptasznik, Bruce D. Freedman, Philip M. Sass, Luigi Grasso and Yuhong Zhou. Their work appears in journals such as Blood, Journal of Leukocyte Biology, DNA and Cell Biology, Expert Opinion on Therapeutic Targets and Oncotarget.

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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