Bo Wan

569 total citations
20 papers, 345 citations indexed

About

Bo Wan is a scholar working on Molecular Biology, Artificial Intelligence and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Bo Wan has authored 20 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Artificial Intelligence and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Bo Wan's work include Animal Disease Management and Epidemiology (3 papers), Vector-Borne Animal Diseases (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Bo Wan is often cited by papers focused on Animal Disease Management and Epidemiology (3 papers), Vector-Borne Animal Diseases (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Bo Wan collaborates with scholars based in China, United Kingdom and France. Bo Wan's co-authors include Su Lin, Yueyong Zhu, Jiali Wu, Clarisse Gânier, Rakesh Patalay, Magnus Lynch, Xinyi Du-Harpur, Fiona M. Watt, Jiaofeng Huang and Ming-Fang Wang and has published in prestigious journals such as Scientific Reports, British Journal of Dermatology and BioMed Research International.

In The Last Decade

Bo Wan

15 papers receiving 339 citations

Peers

Bo Wan
Comparison fields: 5 of 97
  • Molecular Biology 101
  • Epidemiology 91
  • Biomedical Engineering 60
  • Physiology 60
  • Immunology 46
Replace Ian Francis with:
Ian Francis United States
Anna Reed United Kingdom
Francesca Ruscitti Italy
Francesca Taverna Italy
Monika Gudowska-Sawczuk Poland
Elisabeth Errazuriz-Cerda France
Danyang Li China
Jalila Alshekaili Oman
Pu Liao China
Martin Rr Cuba
Ian Francis United States View profile →
Citations per field, relative to Bo Wan
Bo Wan · 1×
Citations per year, relative to Bo Wan
Bo Wan · 1×

Countries citing papers authored by Bo Wan

Since Specialization
Citations

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

Fields of papers citing papers by Bo Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Wan. A scholar is included among the top collaborators of Bo 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 Bo Wan. Bo 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 0
2 0
3 0
4 1
5 1
6 14
7 29
8 0
9 6
10 9
11 23
12 89
13 24
14 114
15 19
16 13
17 1
18
Design and Realization of MAPGIS7.0 Management Based on DBMS
0
19
[Routing reseach of vas deferens on anatomy and clinical application].
1
20
Active Device Generation for Automatic Analog Layout Retargeting Tool
1

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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