Pingping Guan

1.2k citations
17 papers · 1.0k indexed · h-index 14
Topics
vaccines and immunoinformatics approaches (15 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)Immunotherapy and Immune Responses (9 papers)
Partner nations
United KingdomBulgaria

In The Last Decade

Pingping Guan

17 papers receiving 981 citations

Peers

Pingping Guan
Comparison fields: 5 of 68
  • Molecular Biology 870
  • Immunology 452
  • Radiology, Nuclear Medicine and Imaging 381
  • Epidemiology 97
  • Infectious Diseases 95
Replace Pernille Andersen with:
Pernille Andersen Denmark
Elodie Foulquier France
Peter Schoofs Australia
Kamilla Kjærgaard Jensen Denmark
Michael Rasmussen Denmark
Tiziana Sturniolo Italy
Magdalena Blaszczyk‐Thurin United States
Marie‐Madeleine Riottot France
Birkir Reynisson Denmark
Bruno Alvarez Denmark
Pingping Guan relative to Pernille Andersen Denmark Pernille Andersen's profile →
Citations per field
00.5×1.5×
Pernille Andersen · 1×
Citations per year

Countries citing papers authored by Pingping Guan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Pingping Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Pingping Guan. A scholar is included among the top collaborators of Pingping Guan 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 Pingping Guan. Pingping Guan 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 42
2 10
3 1
4 140
5 69
6 144
7 18
8 42
9 95
10 16
11 28
12 44
13 38
14 13
15 222
16
MHCPred: bringing a quantitative dimension to the online prediction of MHC binding.
62
17 17

About Pingping Guan

Pingping Guan is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular 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) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Immunology (452 citations), Radiology, Nuclear Medicine and Imaging (381 citations) and Molecular Biology (870 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, Richard J. Morris, Martin Rejzek, Matthew L. Tomlinson and Carla García‐Morales. Their work appears in journals such as Nucleic Acids Research, The Journal of Immunology and Journal of Medicinal Chemistry.

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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