Jack Pengfei Tang

53 total papers · 636 total citations
8 papers, 426 citations indexed

About

Jack Pengfei Tang is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Jack Pengfei Tang has authored 8 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Jack Pengfei Tang's work include CAR-T cell therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Immune Cell Function and Interaction (2 papers). Jack Pengfei Tang is often cited by papers focused on CAR-T cell therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Immune Cell Function and Interaction (2 papers). Jack Pengfei Tang collaborates with scholars based in United States, China and Canada. Jack Pengfei Tang's co-authors include Carl J. DeSelm, Chong Zuo, Buck E. Rogers, Graham D. Hogg, John Baer, William G. Hawkins, Brett H. Herzog, Samarth Hegde, Cedric Mpoy and Kenneth M. Murphy and has published in prestigious journals such as Science, Cancer Cell and Cancer Research.

In The Last Decade

Jack Pengfei Tang

7 papers receiving 421 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jack Pengfei Tang 256 240 151 53 31 8 426
Angelika Schlamp 104 0.4× 383 1.6× 148 1.0× 30 0.6× 19 0.6× 9 481
Jackie de Belin 202 0.8× 167 0.7× 169 1.1× 53 1.0× 22 0.7× 11 424
Josette Pierre 117 0.5× 143 0.6× 185 1.2× 53 1.0× 36 1.2× 8 395
Rose Al Abosy 221 0.9× 236 1.0× 141 0.9× 35 0.7× 15 0.5× 8 403
Céline Robert-Tissot 189 0.7× 254 1.1× 185 1.2× 46 0.9× 11 0.4× 15 423
Mohammed-Alkhatim Ali 192 0.8× 311 1.3× 101 0.7× 66 1.2× 11 0.4× 5 417
Thomas F. Gibson 144 0.6× 220 0.9× 92 0.6× 24 0.5× 12 0.4× 6 371
Zia A. Dehqanzada 208 0.8× 244 1.0× 121 0.8× 16 0.3× 60 1.9× 14 430
Raffaella Acero 197 0.8× 297 1.2× 105 0.7× 36 0.7× 93 3.0× 7 466
Elisa Zaghi 139 0.5× 272 1.1× 66 0.4× 17 0.3× 55 1.8× 11 398

Countries citing papers authored by Jack Pengfei Tang

Since Specialization
Citations

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

Fields of papers citing papers by Jack Pengfei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Pengfei Tang. 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 Jack Pengfei Tang. The network helps show where Jack Pengfei Tang may publish in the future.

Co-authorship network of co-authors of Jack Pengfei Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Jack Pengfei Tang. A scholar is included among the top collaborators of Jack Pengfei Tang 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 Jack Pengfei Tang. Jack Pengfei Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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