Nan Bai

1.1k citations
55 papers · 893 · h-index 15

Impact in

    • Immune cells in cancer
    • Hippo pathway signaling and YAP/TAZ
    • Endoplasmic Reticulum Stress and Disease

Papers in

Nan Bai

50 papers receiving 859 citations

Peers

Nan Bai
Comparison fields: 5 of 112
  • Immunology 128
  • Cell Biology 93
  • Biomaterials 71
  • Cancer Research 65
  • Cardiology and Cardiovascular Medicine 85
Replace Katarzyna Smolarczyk with:
Katarzyna Smolarczyk Poland
Frank Burslem United Kingdom
Christopher John Lewis United Kingdom
Peter F. Bove United States
Marcus J. D. Wagstaff Australia
Yucel Akgul United States
Emilio Trabucchi Italy
Adam Clauss Sweden
Hye‐Rim Shin South Korea
Xiaoling Cao China
Nan Bai relative to Katarzyna Smolarczyk Poland Katarzyna Smolarczyk's profile →
Citations per field
00.5×2×4×6.1×
Katarzyna Smolarczyk · 1×
Citations per year

Countries citing papers authored by Nan Bai

Since Specialization
Citations

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

Fields of papers citing papers by Nan Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014172
2 201287
3 201066
4 201357
5 201446
6 202045
7 201744
8 201238
9 201628
10 201425
11 201222
12 202118
13 201217
14 202017
15 202217
16 201815
17 202315
18 201914
19
The first attack of acute rheumatic fever in childhood--clinical and laboratory profile.
199011
20 201610

About Nan Bai

Nan Bai is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Nephrology, Molecular Biology and Surgery, having authored 55 papers that have together received 893 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Tuberculosis Research and Epidemiology (2 papers), Mechanical Circulatory Support Devices (2 papers), Metabolism and Genetic Disorders (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (128 citations), Cell Biology (93 citations), Biomaterials (71 citations), Cancer Research (65 citations) and Cardiology and Cardiovascular Medicine (85 citations). Nan Bai has collaborated with scholars based in China, Philippines and United States. Frequent co-authors include Rong Xiang, Xiaoyue Tan, Yunping Luo, Yuquan Wei, Ze Liu, Min Xiong, Luyuan Li, Chenghu Liu, Zhuhong Zhang and Yanhua Liu. Their work appears in journals such as Journal of Cardiovascular Pharmacology, BMC Cardiovascular Disorders, Cancer Biology & Therapy, Medicine and Cellular and Molecular Immunology.

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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