Peiwen Lu

12.3k citations
28 papers · 867 · h-index 10

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • interferon and immune responses
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 4
    • interferon and immune responses 2
    • Flood Risk Assessment and Management 5

Peiwen Lu

23 papers receiving 857 citations

Peers

Peiwen Lu
Comparison fields: 5 of 93
  • Immunology 472
  • Infectious Diseases 262
  • Neurology 97
  • Cancer Research 81
  • Neurology 36
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Tasos Gogakos United States
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Citations per field
00.5×3.7×
Jason T. White · 1×
Citations per year

Countries citing papers authored by Peiwen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Peiwen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peiwen Lu, 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 Peiwen Lu Line = papers co-authored together Peiwen Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020270
2 2013144
3 2017132
4 201973
5 201767
6 201953
7 202025
8 201322
9 202017
10 202115
11 20237
12 20217
13 20246
14 20225
15 20175
16 20144
17 20234
18 20132
19 20222
20 20232

About Peiwen Lu

Peiwen Lu is a scholar working on Immunology, Global and Planetary Change, Epidemiology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 867 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Flood Risk Assessment and Management (5 papers), Immunotherapy and Immune Responses (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), COVID-19 Clinical Research Studies (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Immunology (472 citations), Infectious Diseases (262 citations), Neurology (97 citations), Cancer Research (81 citations) and Neurology (36 citations). Peiwen Lu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Hai Qi, Akiko Iwasaki, Tianyang Mao, Eric Song, Changming Shih, Huiping Dong, Aaron M. Ring, Benjamin Israelow, Amit Meir and Mia Madel Alfajaro. Their work appears in journals such as Frontiers in Aging Neuroscience, npj Vaccines, Nature Immunology, Alzheimer s & Dementia and Expert Opinion on Drug Safety.

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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