Hongmin Tu

44 total papers · 1.6k total citations
27 papers, 1.2k citations indexed

About

Hongmin Tu is a scholar working on Molecular Biology, Immunology and Allergy and Cell Biology. According to data from OpenAlex, Hongmin Tu has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Immunology and Allergy and 7 papers in Cell Biology. Recurrent topics in Hongmin Tu's work include Cell Adhesion Molecules Research (14 papers), Collagen: Extraction and Characterization (6 papers) and Protease and Inhibitor Mechanisms (6 papers). Hongmin Tu is often cited by papers focused on Cell Adhesion Molecules Research (14 papers), Collagen: Extraction and Characterization (6 papers) and Protease and Inhibitor Mechanisms (6 papers). Hongmin Tu collaborates with scholars based in Finland, United States and United Kingdom. Hongmin Tu's co-authors include Taina Pihlajaniemi, Anne Snellman, Johanna Myllyharju, Kari I. Kivirikko, Pirkko Huhtala, Timo Väisänen, Ritva Heljäsvaara, Jyrki Heino, Jarmo Käpylä and Petri Nykvist and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and The EMBO Journal.

In The Last Decade

Hongmin Tu

26 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Hongmin Tu 571 420 322 202 183 27 1.2k
Michael A. Chernousov 541 0.9× 523 1.2× 673 2.1× 280 1.4× 117 0.6× 25 1.4k
Hiroshi Konomi 256 0.4× 355 0.8× 198 0.6× 171 0.8× 138 0.8× 38 1.2k
H Hirvonen 1.0k 1.8× 411 1.0× 410 1.3× 137 0.7× 46 0.3× 18 1.5k
Sang‐Yong Song 471 0.8× 387 0.9× 189 0.6× 316 1.6× 139 0.8× 31 1.2k
S Jaakkola 352 0.6× 430 1.0× 395 1.2× 97 0.5× 50 0.3× 24 1.3k
Annele Sainio 419 0.7× 135 0.3× 313 1.0× 191 0.9× 116 0.6× 22 1.0k
David H. Rohrbach 400 0.7× 522 1.2× 390 1.2× 135 0.7× 79 0.4× 19 1.2k
Purva Singh 442 0.8× 411 1.0× 335 1.0× 228 1.1× 159 0.9× 19 1.3k
Teet Velling 569 1.0× 614 1.5× 434 1.3× 245 1.2× 112 0.6× 20 1.3k
Stephan Sollberg 423 0.7× 233 0.6× 457 1.4× 92 0.5× 115 0.6× 36 1.4k

Countries citing papers authored by Hongmin Tu

Since Specialization
Citations

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

Fields of papers citing papers by Hongmin Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongmin Tu

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