Qi Peng

3.7k citations
66 papers · 3.0k · h-index 31

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 1%
    • Complement system in diseases
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Complement system in diseases 15
    • Immunotherapy and Immune Responses 12
    • T-cell and B-cell Immunology 10
    • Immune Cell Function and Interaction 9
    • Immune Response and Inflammation 5

Qi Peng

63 papers receiving 3.0k citations

Peers

Qi Peng
Comparison fields: 5 of 107
  • Transplantation 266
  • Immunology 1.5k
  • Nephrology 301
  • Cancer Research 284
  • Immunology and Allergy 99
Replace Feng Lin with:
Feng Lin United States
Sheng Xiao United States
David M. Briscoe United States
Nuala Mooney France
Déla Golshayan Switzerland
Kyoung‐Woon Kim South Korea
José C. Crispín United States
Hēth Turnquist United States
Simi Ali United Kingdom
Sibylle von Vietinghoff Germany
Qi Peng relative to Feng Lin United States Feng Lin's profile →
Citations per field
00.5×4.3×
Feng Lin · 1×
Citations per year

Countries citing papers authored by Qi Peng

Since Specialization
Citations

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

Fields of papers citing papers by Qi Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018182
2 2004179
3 2012178
4 2006149
5 2007146
6 2002133
7 2009123
8 2016116
9 2008109
10 2009105
11 2021100
12 201190
13 201986
14 200583
15 201179
16 201973
17 200565
18 200360
19 201957
20 201654

About Qi Peng

Qi Peng is a scholar working on Immunology, Molecular Biology, Cancer Research, Epidemiology and Surgery, having authored 66 papers that have together received 3.0k indexed citations. Recurring topics across this work include Complement system in diseases (15 papers), Immunotherapy and Immune Responses (12 papers), T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (9 papers), Asthma and respiratory diseases (5 papers), Immune Response and Inflammation (5 papers), Cancer-related molecular mechanisms research (5 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Transplantation (266 citations), Immunology (1.5k citations), Nephrology (301 citations), Cancer Research (284 citations) and Immunology and Allergy (99 citations). Qi Peng has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Steven H. Sacks, Wuding Zhou, Ke Li, Stuart J. Hirst, Naiyin Wang, Giovanna Lombardi, Lesley A. Smyth, Conrad A. Farrar, Ke Li and Hetal Patel. Their work appears in journals such as Frontiers in Immunology, Molecular Immunology, Blood, The Journal of Immunology and Scientific Reports.

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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