Huiping Tan

569 total citations
19 papers, 431 citations indexed

About

Huiping Tan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Huiping Tan has authored 19 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Genetics. Recurrent topics in Huiping Tan's work include Genetic Neurodegenerative Diseases (6 papers), RNA modifications and cancer (4 papers) and Ubiquitin and proteasome pathways (4 papers). Huiping Tan is often cited by papers focused on Genetic Neurodegenerative Diseases (6 papers), RNA modifications and cancer (4 papers) and Ubiquitin and proteasome pathways (4 papers). Huiping Tan collaborates with scholars based in China, United States and Canada. Huiping Tan's co-authors include Peng Jin, Dahua Chen, Shanshan Huang, He Li, Yinong Zhang, Yufeng Jiang, Cuiling Lu, Fei Gao, Stephanie L. Sherman and Mickaël Poidevin and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Brain Research.

In The Last Decade

Huiping Tan

17 papers receiving 425 citations

Peers

Huiping Tan
Comparison fields: 5 of 65
  • Molecular Biology 301
  • Genetics 120
  • Cellular and Molecular Neuroscience 93
  • Public Health, Environmental and Occupational Health 45
  • Cancer Research 45
Replace Brinda Dass with:
Brinda Dass United States
Marie Paschaki France
Cécile Mignon‐Ravix France
Eulàlia Belloc Spain
Josephine M. Hermans Netherlands
Michael Molinek United Kingdom
Laurie Kurihara United States
Bettina Lipkowitz Germany
Anahita Amiri United States
Ilia V. Soloviev Russia
Brinda Dass United States View profile →
Citations per field, relative to Huiping Tan
Huiping Tan · 1×
Citations per year, relative to Huiping Tan
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Countries citing papers authored by Huiping Tan

Since Specialization
Citations

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

Fields of papers citing papers by Huiping Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiping Tan

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 14
3 10
4 0
5 1
6 20
7 9
8 16
9 30
10 16
11 47
12 38
13 29
14 14
15 71
16 45
17 39
18 19
19 13

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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