Bo Pei
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
Papers in
-
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 5
-
- Lipid Membrane Structure and Behavior 2
- Co-authors
- Mitchell Kronenberg (7 shared papers)Archana Khurana (3 shared papers)José Luis Vela (2 shared papers)Dirk M. Zajonc (2 shared papers)Glenda Batzer (1 shared paper)Anthony A. Horner (1 shared paper)Dong Bai (1 shared paper)Gerhard Wingender (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Biotechnology and Genetic Engineering Reviews (1 paper)European Journal of Immunology (1 paper)Knowledge-Based Systems (1 paper)Blood (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bo Pei
27 papers receiving 584 citations
Peers
Comparison fields: 5 of 90
- Immunology 381
- Physiology 15
- Epidemiology 84
- Immunology and Allergy 15
- Oncology 59
Countries citing papers authored by Bo Pei
This map shows the geographic impact of Bo Pei'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 Bo Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Pei more than expected).
Fields of papers citing papers by Bo Pei
This network shows the impact of papers produced by Bo Pei. 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 Bo Pei. The network helps show where Bo Pei may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Pei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 91 | |
| 2 | 2015 | 64 | |
| 3 | 2008 | 54 | |
| 4 | 2005 | 52 | |
| 5 | 2012 | 52 | |
| 6 | 2015 | 48 | |
| 7 | 2010 | 46 | |
| 8 | 2011 | 43 | |
| 9 | 2015 | 37 | |
| 10 | 2012 | 28 | |
| 11 | 2015 | 17 | |
| 12 | 2003 | 12 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2002 | 7 | |
| 17 | LD end-pumped 1.5-W passively CW mode-locked Nd:YVO4 laser | 2007 | 6 |
| 18 | 2024 | 3 | |
| 19 | 2013 | 2 | |
| 20 | 2024 | 1 |
About Bo Pei
Bo Pei is a scholar working on Immunology, Molecular Biology, Epidemiology, Electrical and Electronic Engineering and Oncology, having authored 30 papers that have together received 599 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (5 papers), CAR-T cell therapy research (3 papers), Advanced Battery Materials and Technologies (2 papers), Advancements in Battery Materials (2 papers), Lipid Membrane Structure and Behavior (2 papers), Caveolin-1 and cellular processes (2 papers) and Solid State Laser Technologies (2 papers). The work is most often cited by research in Immunology (381 citations), Physiology (15 citations), Epidemiology (84 citations), Immunology and Allergy (15 citations) and Oncology (59 citations). Bo Pei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mitchell Kronenberg, Archana Khurana, José Luis Vela, Dirk M. Zajonc, Glenda Batzer, Anthony A. Horner, Dong Bai, Gerhard Wingender, Paul Rogers and Monique W. Bruinsma. Their work appears in journals such as The Journal of Immunology, Biotechnology and Genetic Engineering Reviews, European Journal of Immunology, Knowledge-Based Systems and Blood.
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.