Nan Bai

1.1k citations
55 papers · 824 · h-index 15

Impact in

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

Papers in

Nan Bai

51 papers receiving 803 citations

Peers

Nan Bai
Comparison fields: 5 of 108
  • Immunology 125
  • Cell Biology 89
  • Biomaterials 69
  • Cancer Research 64
  • Cardiology and Cardiovascular Medicine 82
Replace Peter F. Bove with:
Peter F. Bove United States
Joseph A. Sennello United States
Yanling Wu China
Svetlana N. Zykova Norway
Simona Eliza Giuşcă Romania
Giuseppina Bologna Italy
Maria C. Basil United States
Katsutoshi Nakayama Japan
Scott Chaffee United States
Nan Bai relative to Peter F. Bove United States Peter F. Bove's profile →
Citations per field
00.5×2.7×
Peter F. Bove · 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 2014166
2 201285
3 201355
4 201051
5 201446
6 202045
7 201742
8 201237
9 201626
10 201424
11 201220
12 202117
13 202017
14 202216
15 201215
16 201914
17 202311
18
The first attack of acute rheumatic fever in childhood--clinical and laboratory profile.
199011
19 201610
20 20239

About Nan Bai

Nan Bai is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Infectious Diseases and Surgery, having authored 55 papers that have together received 824 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (4 papers), Coronary Interventions and Diagnostics (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cancer Cells and Metastasis (2 papers), Mechanical Circulatory Support Devices (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Immunology (125 citations), Cell Biology (89 citations), Biomaterials (69 citations), Cancer Research (64 citations) and Cardiology and Cardiovascular Medicine (82 citations). Nan Bai has collaborated with scholars based in China, India and Philippines. Frequent co-authors include Rong Xiang, Xiaoyue Tan, Yunping Luo, Yuquan Wei, Ze Liu, Min Xiong, Luyuan Li, Yanhua Liu, Chenghu Liu and Zhuhong Zhang. Their work appears in journals such as BMC Cardiovascular Disorders, Cancer Biology & Therapy, Medicine, Frontiers in Cardiovascular 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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