Dan Hu

87 total papers · 2.2k total citations
58 papers, 1.6k citations indexed

About

Dan Hu is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Dan Hu has authored 58 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 20 papers in Molecular Biology and 9 papers in Cancer Research. Recurrent topics in Dan Hu's work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (12 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Dan Hu is often cited by papers focused on Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (12 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Dan Hu collaborates with scholars based in China, United States and Sweden. Dan Hu's co-authors include Harvey Cantor, Koichi Ikizawa, Linrong Lu, Marie Sanchirico, Mari L. Shinohara, Howard L. Weiner, Miriam B. F. Werneck, Kai W. Wucherpfennig, Vijay K. Kuchroo and Hiromi Iwasaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Immunity.

In The Last Decade

Dan Hu

52 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Dan Hu 1000 362 304 189 125 58 1.6k
Gabriel Criado 771 0.8× 483 1.3× 287 0.9× 176 0.9× 81 0.6× 48 1.6k
Yuekang Xu 1.4k 1.4× 627 1.7× 381 1.3× 150 0.8× 150 1.2× 53 2.3k
Frances Humby 857 0.9× 347 1.0× 310 1.0× 137 0.7× 125 1.0× 60 2.2k
Di Feng 852 0.9× 388 1.1× 314 1.0× 109 0.6× 165 1.3× 57 1.8k
Ming Gui 1.6k 1.6× 478 1.3× 299 1.0× 128 0.7× 146 1.2× 49 2.3k
Sonya Abraham 600 0.6× 483 1.3× 262 0.9× 166 0.9× 112 0.9× 44 1.5k
Chaoming Mao 754 0.8× 451 1.2× 310 1.0× 239 1.3× 130 1.0× 53 1.5k
Xiaoyan Wang 702 0.7× 527 1.5× 298 1.0× 202 1.1× 196 1.6× 52 1.5k
Panayotis Verginis 1.6k 1.6× 544 1.5× 384 1.3× 128 0.7× 196 1.6× 55 2.1k
Hans‐Hartmut Peter 1.4k 1.4× 358 1.0× 181 0.6× 157 0.8× 192 1.5× 58 2.3k

Countries citing papers authored by Dan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Hu

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026