Gang Su

2.7k citations
21 papers · 1.9k indexed · 1 hit paper · h-index 11
Topics
Bioinformatics and Genomic Networks (7 papers)Immunotherapy and Immune Responses (7 papers)Immune Cell Function and Interaction (5 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Gang Su

20 papers receiving 1.9k citations

Hit Papers

Biological Network Exploration with Cytoscape 320142026201820222014250500750

Peers

Gang Su
Comparison fields: 5 of 147
  • Molecular Biology 1.1k
  • Immunology 290
  • Oncology 241
  • Cancer Research 235
  • Plant Science 171
Replace Yama Abassi with:
Yama Abassi United States
Sen Liu China
Junxia Wang China
Guangsheng Pei United States
Nathalie Selevsek Switzerland
Osman Uğur Sezerman Türkiye
Michael Mittmann United States
Zhen Guo China
Yingxin Zhao United States
Gang Su relative to Yama Abassi United States Yama Abassi's profile →
Citations per field
00.5×2.6×
Yama Abassi · 1×
Citations per year

Countries citing papers authored by Gang Su

Since Specialization
Citations

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

Fields of papers citing papers by Gang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Su. A scholar is included among the top collaborators of Gang Su 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 Gang Su. Gang Su 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
#WorkIndexed citations
1 0
2 2
3 6
4
Biological Network Exploration with Cytoscape 3breakdown →
763
5
OMICS DATA EXPLORATION: ACROSS SCALES AND DIMENSIONS by
1
6 37
7 446
8 151
9 6
10 188
11 31
12 7
13 41
14 13
15 2
16 7
17 50
18 5
19 23
20 136

About Gang Su

Gang Su is a scholar working on Immunology, Bioengineering and Biophysics, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Immunotherapy and Immune Responses (7 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Cancer Research (235 citations), Molecular Biology (1.1k citations) and Immunology (290 citations). Gang Su has collaborated with scholars based in United States, China and Canada. Frequent co-authors include John H. Morris, Gary D. Bader, Barry Demchak, Aaron M. Newman, Thomas E. Ferrin, Leonard Apeltsin, Jan Baumbach, Tobias Wittkop, Michael S. Sabel and Alfred E. Chang. Their work appears in journals such as Bioinformatics, Analytical Chemistry and BMC Bioinformatics.

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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