Hua Peng

114 total papers · 5.1k total citations
67 papers, 3.3k citations indexed

About

Hua Peng is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Hua Peng has authored 67 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 20 papers in Molecular Biology and 17 papers in Epidemiology. Recurrent topics in Hua Peng's work include Immunotherapy and Immune Responses (17 papers), Immune Cell Function and Interaction (13 papers) and CAR-T cell therapy research (9 papers). Hua Peng is often cited by papers focused on Immunotherapy and Immune Responses (17 papers), Immune Cell Function and Interaction (13 papers) and CAR-T cell therapy research (9 papers). Hua Peng collaborates with scholars based in China, United States and Czechia. Hua Peng's co-authors include Yang‐Xin Fu, Hairong Xu, Jingya Guo, Yong Liang, Xiaojuan Liu, Liufu Deng, William A. Frazier, Meng Xu, Justin Kline and Kyle R. Cron and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Hua Peng

63 papers receiving 3.3k citations

Hit Papers

CD47 blockade triggers T ... 2015 2026 2018 2022 2015 2020 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hua Peng 1.7k 1.1k 1.0k 614 321 67 3.3k
Réjean Lapointe 2.1k 1.3× 1.0k 0.9× 1.2k 1.2× 372 0.6× 221 0.7× 80 4.0k
Massimo Spada 1.8k 1.1× 1.8k 1.7× 811 0.8× 438 0.7× 757 2.4× 58 4.1k
Liping Wang 1.4k 0.9× 1.2k 1.1× 710 0.7× 289 0.5× 389 1.2× 85 3.5k
Sung‐Gyoo Park 1.2k 0.7× 1.1k 1.0× 474 0.5× 575 0.9× 370 1.2× 80 3.0k
Lorenzo Mortara 2.4k 1.4× 1.1k 1.0× 1.1k 1.1× 428 0.7× 364 1.1× 101 4.1k
Lei Huang 2.0k 1.2× 1.6k 1.5× 841 0.8× 373 0.6× 441 1.4× 79 4.0k
Alessandra Mazzoni 3.7k 2.2× 915 0.8× 842 0.8× 483 0.8× 306 1.0× 52 5.0k
Amaya Puig‐Kröger 2.2k 1.4× 1.2k 1.1× 572 0.6× 311 0.5× 265 0.8× 63 3.7k
Annalisa Del Prete 1.8k 1.1× 1.0k 0.9× 844 0.8× 403 0.7× 250 0.8× 64 3.3k
Alexei V. Tumanov 2.5k 1.5× 1.1k 1.0× 552 0.6× 354 0.6× 380 1.2× 90 4.1k

Countries citing papers authored by Hua Peng

Since Specialization
Citations

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

Fields of papers citing papers by Hua Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Peng. A scholar is included among the top collaborators of Hua Peng 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 Hua Peng. Hua Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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