Tea Gogishvili

2.0k citations
17 papers · 1.4k indexed · 1 hit paper · h-index 13
Topics
Immune Cell Function and Interaction (9 papers)CAR-T cell therapy research (8 papers)T-cell and B-cell Immunology (8 papers)

In The Last Decade

Tea Gogishvili

17 papers receiving 1.4k citations

Hit Papers

Chimeric antigen receptor-modified T cells derived from d...20152026201820222015200400600

Peers

Tea Gogishvili
Comparison fields: 5 of 66
  • Oncology 1.0k
  • Immunology 587
  • Molecular Biology 552
  • Genetics 343
  • Biomedical Engineering 298
Replace Gerrit Weber with:
Gerrit Weber United States
Ryan Urak United States
Kelsey M. Wanhainen United States
Leslie E. Huye United States
Peihua Lu China
Kurt Schönfeld Germany
Keith Kerstann United States
M. Eric Kohler United States
Dimitrios L. Wagner Germany
Zachary A. Borman United States
Tea Gogishvili relative to Gerrit Weber United States Gerrit Weber's profile →
Citations per field
00.5×1.5×
Gerrit Weber · 1×
Citations per year

Countries citing papers authored by Tea Gogishvili

Since Specialization
Citations

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

Fields of papers citing papers by Tea Gogishvili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tea Gogishvili

This figure shows the co-authorship network connecting the top 25 collaborators of Tea Gogishvili. A scholar is included among the top collaborators of Tea Gogishvili based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tea Gogishvili. Tea Gogishvili is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 88
2 184
3 194
4 2
5 17
6 14
7
Chimeric antigen receptor-modified T cells derived from defined CD8+ and CD4+ subsets confer superior antitumor reactivity in vivobreakdown →
639
8 2
9 16
10 13
11 14
12 48
13 50
14 20
15 60
16 11
17 3

About Tea Gogishvili

Tea Gogishvili is a scholar working on Immunology, Immunology and Allergy and Oncology, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (8 papers) and T-cell and B-cell Immunology (8 papers). The work is most often cited by research in Oncology (1.0k citations), Immunology (587 citations) and Genetics (343 citations). Tea Gogishvili has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Michael Hudecek, Stanley R. Riddell, Daniel Sommermeyer, David G. Maloney, Cameron J. Turtle, Paula L. Kosasih, Hermann Einsele, Zoltán Ivics, Csaba Miskey and Martin Schreder. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and Nature Immunology.

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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