Sheng‐Bo Fan

1.9k total citations · 2 hit papers
21 papers, 1.3k citations indexed

About

Sheng‐Bo Fan is a scholar working on Molecular Biology, Spectroscopy and Mechanical Engineering. According to data from OpenAlex, Sheng‐Bo Fan has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Spectroscopy and 5 papers in Mechanical Engineering. Recurrent topics in Sheng‐Bo Fan's work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (7 papers) and Machine Learning in Bioinformatics (4 papers). Sheng‐Bo Fan is often cited by papers focused on Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (7 papers) and Machine Learning in Bioinformatics (4 papers). Sheng‐Bo Fan collaborates with scholars based in China, South Korea and Saint Kitts and Nevis. Sheng‐Bo Fan's co-authors include Si‐Min He, Meng‐Qiu Dong, Hao Chi, Yue‐He Ding, Rui-Xiang Sun, Bing Yang, Yuxin Li, Long Wu, Leheng Wang and Keqiong Ye and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Nature Methods.

In The Last Decade

Sheng‐Bo Fan

21 papers receiving 1.3k citations

Hit Papers

Identification of cross-linked peptides from complex samples 2012 2026 2016 2021 2012 2019 100 200 300 400

Peers

Sheng‐Bo Fan
Comparison fields: 5 of 114
  • Molecular Biology 875
  • Spectroscopy 404
  • Cell Biology 152
  • Materials Chemistry 105
  • Mechanical Engineering 105
Replace Ling Jiang with:
Ling Jiang China
TJ Brunette United States
Bryan S. Der United States
Yujia Wu China
Xiaojun Li China
Takashi Ishida Japan
Kisaburo Deguchi Japan
Hang Yu China
Song-Yi Lee South Korea
Menglong Li China
Ling Jiang China View profile →
Citations per field, relative to Sheng‐Bo Fan
Sheng‐Bo Fan · 1×
Citations per year, relative to Sheng‐Bo Fan
Sheng‐Bo Fan · 1×

Countries citing papers authored by Sheng‐Bo Fan

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐Bo Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng‐Bo Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng‐Bo Fan. A scholar is included among the top collaborators of Sheng‐Bo Fan 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 Sheng‐Bo Fan. Sheng‐Bo Fan 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 19
2 2
3 5
4
A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides breakdown →
329
5 20
6 28
7 2
8 80
9 3
10 40
11 5
12 51
13 28
14 127
15 1
16 2
17
Identification of cross-linked peptides from complex samples breakdown →
458
18 5
19 3
20 2

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

Rankless by CCL
2026