Lang Bai

3.9k total citations · 2 hit papers
151 papers, 2.8k citations indexed

About

Lang Bai is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Lang Bai has authored 151 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Epidemiology, 49 papers in Hepatology and 31 papers in Molecular Biology. Recurrent topics in Lang Bai's work include Liver Disease Diagnosis and Treatment (43 papers), Hepatitis B Virus Studies (30 papers) and Hepatitis C virus research (24 papers). Lang Bai is often cited by papers focused on Liver Disease Diagnosis and Treatment (43 papers), Hepatitis B Virus Studies (30 papers) and Hepatitis C virus research (24 papers). Lang Bai collaborates with scholars based in China, United States and Spain. Lang Bai's co-authors include Yong Lin, Zhanhai Yin, Baolin Guo, Shanling Xu, Wenjie Chen, Ying Huang, Hong Tang, Yongping Liang, Wenshu Chen and Hong Tang and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Lang Bai

140 papers receiving 2.8k citations

Hit Papers

Degradable Gelatin-Based IPN Cryogel Hemostat for Rapidly... 2020 2026 2022 2024 2020 2023 100 200 300

Peers

Lang Bai
Comparison fields: 5 of 129
  • Molecular Biology 831
  • Epidemiology 593
  • Surgery 476
  • Biomaterials 424
  • Hepatology 388
Replace Yuan‐Ping Han with:
Yuan‐Ping Han China
Ruchi Bansal Netherlands
Clark A. Bonham United States
Xiangmei Chen China
Feng Xu China
Aileen Wee Singapore
Li Yang China
Caiyan Zhao China
Cristiana Tănase Romania
Yingying Jing China
Yuan‐Ping Han China View profile →
Citations per field, relative to Lang Bai
Lang Bai · 1×
Citations per year, relative to Lang Bai
Lang Bai · 1×

Countries citing papers authored by Lang Bai

Since Specialization
Citations

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

Fields of papers citing papers by Lang Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lang Bai

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 8
5 2
6 3
7 1
8 7
9 21
10 0
11 29
12 23
13
Injectable Self‐Expanding/Self‐Propelling Hydrogel Adhesive with Procoagulant Activity and Rapid Gelation for Lethal Massive Hemorrhage Management breakdown →
102
14 9
15 1
16 139
17 15
18 7
19 58
20 18

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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