Pingping Guan
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- vaccines and immunoinformatics approaches 15
- Machine Learning in Bioinformatics 1
- RNA and protein synthesis mechanisms 1
- Immunology 13
- Immunotherapy and Immune Responses 9
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 1
- Co-authors
- Irini Doytchinova (15 shared papers)Darren R. Flower (15 shared papers)Channa K. Hattotuwagama (6 shared papers)Christopher P. Toseland (3 shared papers)Martin Blythe (3 shared papers)Persephone Borrow (2 shared papers)Robert A. Field (1 shared paper)Richard J. Morris (1 shared paper)
- Journals
- BMC Bioinformatics (1 paper)Journal of Molecular Graphics and Modelling (1 paper)Expert Opinion on Drug Discovery (1 paper)Organic & Biomolecular Chemistry (1 paper)Methods (1 paper)
- Partner nations
- United KingdomBulgaria
In The Last Decade
Pingping Guan
17 papers receiving 981 citations
Peers
Comparison fields: 5 of 68
- Immunology 452
- Radiology, Nuclear Medicine and Imaging 381
- Molecular Biology 870
- Microbiology 59
- Biotechnology 67
Countries citing papers authored by Pingping Guan
This map shows the geographic impact of Pingping Guan'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 Pingping Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingping Guan more than expected).
Fields of papers citing papers by Pingping Guan
This network shows the impact of papers produced by Pingping Guan. 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 Pingping Guan. The network helps show where Pingping Guan may publish in the future.
Co-authors
The 16 scholars most cited alongside Pingping Guan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 222 | |
| 2 | 2005 | 144 | |
| 3 | 2006 | 140 | |
| 4 | 2004 | 95 | |
| 5 | 2006 | 69 | |
| 6 | MHCPred: bringing a quantitative dimension to the online prediction of MHC binding. | 2003 | 62 |
| 7 | 2003 | 44 | |
| 8 | 2009 | 42 | |
| 9 | 2005 | 42 | |
| 10 | 2003 | 38 | |
| 11 | 2004 | 28 | |
| 12 | 2005 | 18 | |
| 13 | 2003 | 17 | |
| 14 | 2004 | 16 | |
| 15 | 2003 | 13 | |
| 16 | 2007 | 10 | |
| 17 | 2007 | 1 |
About Pingping Guan
Pingping Guan is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Cell Biology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (15 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (7 papers), Neurobiology and Insect Physiology Research (1 paper), Machine Learning in Bioinformatics (1 paper), Immune Cell Function and Interaction (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Immunology (452 citations), Radiology, Nuclear Medicine and Imaging (381 citations), Molecular Biology (870 citations), Microbiology (59 citations) and Biotechnology (67 citations). Pingping Guan has collaborated with scholars based in United Kingdom and Bulgaria. Frequent co-authors include Irini Doytchinova, Darren R. Flower, Channa K. Hattotuwagama, Christopher P. Toseland, Martin Blythe, Persephone Borrow, Robert A. Field, Richard J. Morris, Carla García‐Morales and Mark Fidock. Their work appears in journals such as BMC Bioinformatics, Journal of Molecular Graphics and Modelling, Expert Opinion on Drug Discovery, Organic & Biomolecular Chemistry and Methods.
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.