Zhenpeng Dai

45 total papers · 2.7k total citations
25 papers, 2.1k citations indexed

About

Zhenpeng Dai is a scholar working on Immunology, Urology and Oncology. According to data from OpenAlex, Zhenpeng Dai has authored 25 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 14 papers in Urology and 8 papers in Oncology. Recurrent topics in Zhenpeng Dai's work include Hair Growth and Disorders (14 papers), Immune Cell Function and Interaction (14 papers) and T-cell and B-cell Immunology (7 papers). Zhenpeng Dai is often cited by papers focused on Hair Growth and Disorders (14 papers), Immune Cell Function and Interaction (14 papers) and T-cell and B-cell Immunology (7 papers). Zhenpeng Dai collaborates with scholars based in United States, Singapore and China. Zhenpeng Dai's co-authors include Angela M. Christiano, Raphael Clynes, Jane Cerise, Veronika Groh, Thomas A. Spies, Ali Jabbari, Luzhou Xing, Sivan Harel, Claire A. Higgins and Lynn Petukhova and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Zhenpeng Dai

23 papers receiving 2.0k citations

Hit Papers

Alopecia areata is driven... 2014 2026 2018 2022 2014 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
Zhenpeng Dai 926 900 634 414 379 25 2.1k
Julian Mackay‐Wiggan 839 0.9× 316 0.4× 915 1.4× 203 0.5× 258 0.7× 26 2.0k
Sivan Harel 664 0.7× 304 0.3× 498 0.8× 95 0.2× 270 0.7× 28 1.7k
Hideo Oshima 998 1.1× 910 1.0× 583 0.9× 408 1.0× 850 2.2× 26 2.8k
Beate M. Lichtenberger 391 0.4× 292 0.3× 555 0.9× 638 1.5× 529 1.4× 28 2.5k
Rolf Hoffmann 1.1k 1.2× 274 0.3× 731 1.2× 73 0.2× 442 1.2× 45 1.5k
George P. Stricklin 200 0.2× 191 0.2× 472 0.7× 572 1.4× 290 0.8× 44 2.4k
Nicole Stokes 925 1.0× 251 0.3× 457 0.7× 334 0.8× 701 1.8× 20 3.0k
Catherin Niemann 840 0.9× 175 0.2× 652 1.0× 479 1.2× 778 2.1× 39 2.5k
Hanseul Yang 321 0.3× 364 0.4× 228 0.4× 783 1.9× 339 0.9× 21 2.1k
Reuben Tooze 166 0.2× 1.0k 1.1× 134 0.2× 493 1.2× 238 0.6× 64 2.5k

Countries citing papers authored by Zhenpeng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Zhenpeng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenpeng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenpeng Dai. A scholar is included among the top collaborators of Zhenpeng Dai 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 Zhenpeng Dai. Zhenpeng Dai 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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