P. Wang

53.0k citations
1.3k papers · 39.6k · 4 hit papers · h-index 92

Impact in

Papers in

P. Wang

1.3k papers receiving 38.8k citations

P. Wang's Hit Papers

Emerging phagocytosis checkpoints in cancer immunotherapy 2023 · 205 citations
2050+2+4Years since publication100200300400

Peers

P. Wang
Comparison fields: 5 of 198
  • Critical Care and Intensive Care Medicine 1.9k
  • Immunology 7.3k
  • Endocrine and Autonomic Systems 1.5k
  • Neurology 1.8k
  • Cancer Research 2.5k
Replace Asrar B. Malik with:
Asrar B. Malik United States
Joseph Vincent Bonventre United States
Lyle L. Moldawer United States
Timothy R. Billiar United States
Augustine M.K. Choi United States
Peter A. Ward United States
Christoph Thiemermann United Kingdom
Csaba Szabó United States
Paul Kubes Canada
Holger K. Eltzschig United States
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Citations per field
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Asrar B. Malik · 1×
Citations per year

Countries citing papers authored by P. Wang

Since Specialization
Citations

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

Fields of papers citing papers by P. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. Wang Line = papers co-authored together P. Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 1.3k papers — load more, or switch the sort, to bring in the rest.

#Work
1
DAMPs and NETs in Sepsis
Hit paper breakdown →
2019497
2
Release mechanisms of major DAMPs
Hit paper breakdown →
2021446
3 2008419
4 2013371
5 2011344
6 1994316
7 2002278
8 2012260
9 2009251
10 2001235
11 1991232
12 2003229
13 2012224
14
TLR4 signalling via Piezo1 engages and enhances the macrophage mediated host response during bacterial infection
Hit paper breakdown →
2021222
15 2019212
16
Emerging phagocytosis checkpoints in cancer immunotherapy
Hit paper breakdown →
2023205
17 2007203
18 2010200
19 2001190
20 2007186

About P. Wang

P. Wang is a scholar working on Immunology, Critical Care and Intensive Care Medicine, Molecular Biology, Epidemiology and Cancer Research, having authored 1.3k papers that have together received 39.6k indexed citations. Recurring topics across this work include Immune Response and Inflammation (95 papers), Sepsis Diagnosis and Treatment (71 papers), Phagocytosis and Immune Regulation (59 papers), Neuropeptides and Animal Physiology (57 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (41 papers), Neuroinflammation and Neurodegeneration Mechanisms (38 papers), Thermal Regulation in Medicine (33 papers) and MicroRNA in disease regulation (32 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (1.9k citations), Immunology (7.3k citations), Endocrine and Autonomic Systems (1.5k citations), Neurology (1.8k citations) and Cancer Research (2.5k citations). P. Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Irshad H. Chaudry, Monowar Aziz, Mian Zhou, Rongqian Wu, Asha Jacob, Weng-Lang Yang, Max Brenner, Charles J. Glueck, Weifeng Dong and Gene F. Coppa. Their work appears in journals such as Shock, Journal of Surgical Research, Frontiers in Immunology, Molecular Medicine and PLoS ONE.

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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