Baojie Wan

4.0k total citations
86 papers, 3.3k citations indexed

About

Baojie Wan is a scholar working on Molecular Biology, Organic Chemistry and Infectious Diseases. According to data from OpenAlex, Baojie Wan has authored 86 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 49 papers in Organic Chemistry and 47 papers in Infectious Diseases. Recurrent topics in Baojie Wan's work include Tuberculosis Research and Epidemiology (45 papers), Cancer therapeutics and mechanisms (36 papers) and Synthesis and biological activity (28 papers). Baojie Wan is often cited by papers focused on Tuberculosis Research and Epidemiology (45 papers), Cancer therapeutics and mechanisms (36 papers) and Synthesis and biological activity (28 papers). Baojie Wan collaborates with scholars based in United States, New Zealand and India. Baojie Wan's co-authors include Scott G. Franzblau, Alan P. Kozikowski, Yuehong Wang, Jialin Mao, Annamaria Lilienkampf, Yuehong Wang, Andrew M. Thompson, William A. Denny, Sang‐Hyun Cho and Zhenkun Ma and has published in prestigious journals such as PLoS ONE, Journal of Medicinal Chemistry and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Baojie Wan

86 papers receiving 3.3k citations

Peers

Baojie Wan
Comparison fields: 5 of 94
  • Organic Chemistry 2.1k
  • Molecular Biology 1.4k
  • Infectious Diseases 1.0k
  • Epidemiology 535
  • Computational Theory and Mathematics 261
Replace Roberto Di Santo with:
Roberto Di Santo Italy
Zhenkun Ma United States
Roberta Costi Italy
Oriana Tabarrini Italy
Violetta Cecchetti Italy
Rama P. Tripathi India
Maria Letizia Barreca Italy
Roberta Loddo Italy
Lian‐Shun Feng China
Núbia Boechat Brazil
Roberto Di Santo Italy View profile →
Citations per field, relative to Baojie Wan
Baojie Wan · 1×
Citations per year, relative to Baojie Wan
Baojie Wan · 1×

Countries citing papers authored by Baojie Wan

Since Specialization
Citations

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

Fields of papers citing papers by Baojie Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baojie Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Baojie Wan. A scholar is included among the top collaborators of Baojie Wan 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 Baojie Wan. Baojie Wan 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 1
2 10
3 17
4 9
5 14
6 35
7 33
8 16
9 31
10 45
11 9
12 24
13 111
14 66
15 36
16 12
17 22
18 95
19 35
20 97

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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