Baogong Zhu

10.1k citations
15 papers · 5.5k indexed · 3 hit papers · h-index 12
Topics
Immune Cell Function and Interaction (10 papers)CAR-T cell therapy research (5 papers)T-cell and B-cell Immunology (5 papers)

In The Last Decade

Baogong Zhu

15 papers receiving 5.4k citations

Hit Papers

Restoring function in exhausted CD8 T cells during chroni...200520262012201920052008200710002.0k3.0k

Peers

Baogong Zhu
Comparison fields: 5 of 110
  • Immunology 4.0k
  • Oncology 2.2k
  • Epidemiology 873
  • Molecular Biology 763
  • Virology 489
Replace Nasim Kassam with:
Nasim Kassam United States
Haina Shin United States
Sang‐Jun Ha South Korea
Danielle Lenig Switzerland
Georg Gasteiger Germany
Jason K. Whitmire United States
Marcel Loetscher Switzerland
Shawn D. Blackburn United States
Hanspeter Pircher Switzerland
Joël Plumas France
Baogong Zhu relative to Nasim Kassam United States Nasim Kassam's profile →
Citations per field
00.5×1.7×
Nasim Kassam · 1×
Citations per year

Countries citing papers authored by Baogong Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Baogong Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baogong Zhu

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 11
2 80
3 136
4 112
5 2
6 256
7 140
8 19
9 26
10 1
11 267
12
Enhancing SIV-specific immunity in vivo by PD-1 blockadebreakdown →
604
13
TIM-1 and TIM-4 Glycoproteins Bind Phosphatidylserine and Mediate Uptake of Apoptotic Cellsbreakdown →
523
14 211
15
Restoring function in exhausted CD8 T cells during chronic viral infectionbreakdown →
3111

About Baogong Zhu

Baogong Zhu is a scholar working on Immunology, Oncology and Virology, having authored 15 papers that have together received 5.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), CAR-T cell therapy research (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Immunology (4.0k citations), Virology (489 citations) and Oncology (2.2k citations). Baogong Zhu has collaborated with scholars based in United States, Spain and Vietnam. Frequent co-authors include Gordon J. Freeman, Arlene H. Sharpe, Rafi Ahmed, Daniel L. Barber, David Masopust, James P. Allison, E. John Wherry, Guifang Cai, Dale T. Umetsu and Rosemarie H. DeKruyff. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

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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