Weiwei Bai

648 citations
24 papers · 377 · h-index 10

Impact in

Papers in

    • Plant and Fungal Species Descriptions 3
    • Genomics and Phylogenetic Studies 3
    • Pancreatic and Hepatic Oncology Research 4

Weiwei Bai

22 papers receiving 375 citations

Peers

Weiwei Bai
Comparison fields: 5 of 65
  • Aging 27
  • Endocrine and Autonomic Systems 80
  • Cellular and Molecular Neuroscience 104
  • Immunology 67
  • Oncology 73
Replace Ivette F. Emery with:
Ivette F. Emery United States
Anne Fröhlich Germany
Birgit Jacobmeier Switzerland
Hanako Shimizu Japan
Jay Daniels United States
Yocelyn Recinos United States
Uri Weissbein Israel
Nattaphong Rattanavirotkul United Kingdom
Jessie Chu United States
Philip T. Edeen United States
Weiwei Bai relative to Ivette F. Emery United States Ivette F. Emery's profile →
Citations per field
00.5×5.6×
Ivette F. Emery · 1×
Citations per year

Countries citing papers authored by Weiwei Bai

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201492
2 201361
3 201934
4 202134
5 201832
6 202422
7 201918
8 202017
9 202416
10 202311
11 20218
12 20208
13
Clinical evaluation of valsartan and metoprolol tartrate in treatment of diabetic nephropathy with positive β1-adrenergic and anti-angiotensin II type 1 receptor antibody.
20127
14 20246
15 20203
16 20172
17 20181
18 20251
19 20211
20 20211

About Weiwei Bai

Weiwei Bai is a scholar working on Molecular Biology, Oncology, Endocrine and Autonomic Systems, Cell Biology and Surgery, having authored 24 papers that have together received 377 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Membrane Separation Technologies (3 papers), Plant and Fungal Species Descriptions (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Neurobiology and Insect Physiology Research (3 papers), Genomics and Phylogenetic Studies (3 papers) and Covalent Organic Framework Applications (3 papers). The work is most often cited by research in Aging (27 citations), Endocrine and Autonomic Systems (80 citations), Cellular and Molecular Neuroscience (104 citations), Immunology (67 citations) and Oncology (73 citations). Weiwei Bai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenfeng Chen, Zhangwu Zhao, Wenna Jiang, Zhenxing Liu, Tianjiao Li, Ruifeng Zhang, Kaili Zhao, Zhong Yang, Zhe Zheng and Tianjiao Li. Their work appears in journals such as Separation and Purification Technology, Gastroenterology, Cancer Biology and Medicine, The Journal of Experimental Medicine and Desalination.

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.

Explore authors with similar magnitude of impact