Ruoding Tan

420 citations
21 papers · 342 · h-index 7

Impact in

Papers in

Ruoding Tan

19 papers receiving 328 citations

Peers

Ruoding Tan
Comparison fields: 5 of 59
  • Family Practice 23
  • Endocrinology, Diabetes and Metabolism 94
  • Applied Microbiology and Biotechnology 7
  • Infectious Diseases 46
  • Pulmonary and Respiratory Medicine 47
Replace Hanh Thi Chu with:
Hanh Thi Chu Vietnam
Long Meng China
Sruthi Adimadhyam United States
Fernando Luis Affonso Fonseca Brazil
E. Pedrosa Spain
Safia Chatur United States
Sanjeev M. Chaudhary India
Miao Lin China
Nahla Ibrahim Austria
Suping Ling United Kingdom
Ruoding Tan relative to Hanh Thi Chu Vietnam Hanh Thi Chu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ruoding Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ruoding Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017133
2 201461
3 201647
4 197826
5 201725
6 20159
7 20228
8 20246
9 20165
10 20235
11 20144
12 20254
13 20222
14 20242
15 20141
16 20181
17 20201
18 20201
19 20241
20 20240

About Ruoding Tan

Ruoding Tan is a scholar working on Hepatology, Internal Medicine, Oncology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 342 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Genetic Neurodegenerative Diseases (2 papers), COVID-19 and healthcare impacts (2 papers), Statistical Methods in Clinical Trials (1 paper), Fungal Infections and Studies (1 paper), Global Cancer Incidence and Screening (1 paper) and Gastric Cancer Management and Outcomes (1 paper). The work is most often cited by research in Family Practice (23 citations), Endocrinology, Diabetes and Metabolism (94 citations), Applied Microbiology and Biotechnology (7 citations), Infectious Diseases (46 citations) and Pulmonary and Respiratory Medicine (47 citations). Ruoding Tan has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Edward Tuttle, John D. Yee, Ginger Smith Carls, William H. Polonsky, Steven V. Edelman, Johnny Huynh, James Edward Signorovitch, Andrew Kageleiry, Elyse Swallow and Jie Zhang. Their work appears in journals such as Neurology, Cancers, Current Medical Research and Opinion, Frontiers in Public Health and Future Oncology.

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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