Huolin Tu

644 citations
15 papers · 350 · h-index 8

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 5
    • SARS-CoV-2 detection and testing 3
    • Viral gastroenteritis research and epidemiology 3
    • COVID-19 Clinical Research Studies 2

Huolin Tu

15 papers receiving 346 citations

Peers

Huolin Tu
Comparison fields: 5 of 72
  • Biological Psychiatry 38
  • Behavioral Neuroscience 46
  • Infectious Diseases 180
  • Genetics 40
  • Modeling and Simulation 11
Replace Zhi‐Yong Pan with:
Zhi‐Yong Pan China
Yingqi Zhu China
Chang‐Qing Gao China
Ye Zong China
Clara Erice United States
Hao-Yu Chuang Taiwan
Flora Reverchon France
Portia Gough United States
Kristy M. Greeneltch United States
Gianluca Costamagna Italy
Huolin Tu relative to Zhi‐Yong Pan China Zhi‐Yong Pan's profile →
Citations per field
00.5×6.7×
Zhi‐Yong Pan · 1×
Citations per year

Countries citing papers authored by Huolin Tu

Since Specialization
Citations

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

Fields of papers citing papers by Huolin Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2021126
2 202150
3 201749
4 200534
5 200529
6 200324
7 200713
8 20229
9 20217
10 20233
11 20222
12 20051
13 20171
14 20181
15 20201

About Huolin Tu

Huolin Tu is a scholar working on Infectious Diseases, Molecular Biology, Genetics, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 350 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), SARS-CoV-2 detection and testing (3 papers), Adrenal Hormones and Disorders (3 papers), Stress Responses and Cortisol (3 papers), Viral gastroenteritis research and epidemiology (3 papers), COVID-19 Clinical Research Studies (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Biological Psychiatry (38 citations), Behavioral Neuroscience (46 citations), Infectious Diseases (180 citations), Genetics (40 citations) and Modeling and Simulation (11 citations). Huolin Tu has collaborated with scholars based in United States and China. Frequent co-authors include Terry L. Juelich, Peter L. Rady, Thomas K. Hughes, Eric M. Smith, Peng Ru, Fan He, Zuzana Bohrerova, Xiaokang Pan, Stanley Lemeshow and Jiyoung Lee. Their work appears in journals such as Brain Behavior and Immunity, Cellular and Molecular Neurobiology, Journal of Neuroimmunology, Archives of Pathology & Laboratory Medicine and Blood.

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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