Gang Su

2.7k total citations · 1 hit paper
21 papers, 1.9k citations indexed

About

Gang Su is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Gang Su has authored 21 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Oncology. Recurrent topics in Gang Su's work include Bioinformatics and Genomic Networks (7 papers), Immunotherapy and Immune Responses (7 papers) and Immune Cell Function and Interaction (5 papers). Gang Su is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Immunotherapy and Immune Responses (7 papers) and Immune Cell Function and Interaction (5 papers). Gang Su collaborates with scholars based in United States, China and Canada. Gang Su's co-authors include John H. Morris, Gary D. Bader, Barry Demchak, Leonard Apeltsin, Jan Baumbach, Tobias Wittkop, Aaron M. Newman, Thomas E. Ferrin, Alfred E. Chang and Michael S. Sabel and has published in prestigious journals such as Bioinformatics, Analytical Chemistry and BMC Bioinformatics.

In The Last Decade

Gang Su

20 papers receiving 1.9k citations

Hit Papers

Biological Network Exploration with Cytoscape 3 2014 2026 2018 2022 2014 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Biological Network Exploration with Cytoscape 3
    2014 763 citations Gang Su, John H. Morris et al. Current Protocols in Bioinformatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gang Su United States 11 1.1k 290 241 235 171 21 1.9k
Sen Liu China 27 1.2k 1.2× 260 0.9× 368 1.5× 319 1.4× 173 1.0× 137 2.4k
Osman Uğur Sezerman Türkiye 25 1.4k 1.3× 290 1.0× 128 0.5× 190 0.8× 246 1.4× 158 2.5k
Nathalie Selevsek Switzerland 24 2.6k 2.4× 184 0.6× 229 1.0× 222 0.9× 146 0.9× 34 4.0k
Yuan Cheng United States 33 2.5k 2.3× 350 1.2× 354 1.5× 215 0.9× 128 0.7× 81 4.6k
Zhen Guo China 28 2.0k 1.9× 294 1.0× 310 1.3× 770 3.3× 139 0.8× 99 3.1k
Junxia Wang China 28 1.4k 1.3× 520 1.8× 233 1.0× 208 0.9× 429 2.5× 112 2.8k
Liang Fang China 32 1.9k 1.8× 196 0.7× 385 1.6× 536 2.3× 200 1.2× 145 2.9k
Ute Distler Germany 25 2.0k 1.9× 352 1.2× 166 0.7× 309 1.3× 153 0.9× 66 3.1k

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
1.
Xu, Mingyi, et al.. (2026). Organoids for disease modeling and treatment: state-of-the-art. Experimental Hematology and Oncology. 15(1). 10–10.
2.
Su, Gang, et al.. (2023). Analysis of Risk Factors Related to the Efficacy of Foramen Ovale Closure as a Therapy for Migraine. International Heart Journal. 64(1). 28–35. 2 indexed citations
3.
Mirel, Barbara, Anuj Kumar, Paige Nong, Gang Su, & Fan Meng. (2015). Using Interactive Data Visualizations for Exploratory Analysis in Undergraduate Genomics Coursework: Field Study Findings and Guidelines. Journal of Science Education and Technology. 25(1). 91–110. 6 indexed citations
4.
Su, Gang, John H. Morris, Barry Demchak, & Gary D. Bader. (2014). Biological Network Exploration with Cytoscape 3. Current Protocols in Bioinformatics. 47(1). 8.13.1–24. 763 indexed citations breakdown →
5.
Su, Gang. (2013). OMICS DATA EXPLORATION: ACROSS SCALES AND DIMENSIONS by. Deep Blue (University of Michigan). 1 indexed citations
6.
Su, Gang, et al.. (2011). Integrated metabolome and transcriptome analysis of the NCI60 dataset. BMC Bioinformatics. 12(S1). S36–S36. 37 indexed citations
7.
Morris, John H., Leonard Apeltsin, Aaron M. Newman, et al.. (2011). clusterMaker: a multi-algorithm clustering plugin for Cytoscape. BMC Bioinformatics. 12(1). 436–436. 446 indexed citations
8.
Peng, Bo, et al.. (2011). Measurement of Tear Glucose Levels with Amperometric Glucose Biosensor/Capillary Tube Configuration. Analytical Chemistry. 83(21). 8341–8346. 151 indexed citations
9.
Zhou, Lijing, et al.. (2011). Fluorescent Determination of Trace Calcium in Water from High-Parameter Power Plant Based on a Porphyrin Derivative. Advanced Science Letters. 4(4). 1541–1545. 6 indexed citations
10.
Su, Gang, Allan Kuchinsky, John H. Morris, David J. States, & Fan Meng. (2010). GLay: community structure analysis of biological networks. Bioinformatics. 26(24). 3135–3137. 188 indexed citations
11.
Sabel, Michael S., Gang Su, Kent A. Griffith, & Alfred E. Chang. (2009). Intratumoral delivery of encapsulated IL-12, IL-18 and TNF-α in a model of metastatic breast cancer. Breast Cancer Research and Treatment. 122(2). 325–336. 31 indexed citations
12.
Zöllner, Sebastian, et al.. (2008). Bayesian EM algorithm for scoring polymorphic deletions from SNP data and application to a common CNV on 8q24. Genetic Epidemiology. 33(4). 357–368. 7 indexed citations
13.
Sabel, Michael S., Alisha Arora, Gang Su, et al.. (2007). Synergistic effect of intratumoral IL-12 and TNF-α microspheres: systemic anti-tumor immunity is mediated by both CD8+ CTL and NK cells. Surgery. 142(5). 749–760. 41 indexed citations
14.
Sabel, Michael S., Alisha Arora, Gang Su, et al.. (2007). Generation of a Tumor-specific Systemic Response After Intratumoral Injection of IL-12 and IL-18–loaded Polylactic Acid Microspheres. Journal of Immunotherapy. 30(8). 808–816. 13 indexed citations
15.
Chen, Jiajun, Gang Su, Chao Liu, et al.. (2007). Role of myeloid differentiation factor 88 in HSP60 signal transduction in dendritic cells. 21(1). 36–41. 2 indexed citations
16.
Su, Gang, Binchen Mao, & Jin Wang. (2006). MACO: A Gapped-Alignment Scoring Tool for Comparing Transcription Factor Binding Sites. In Silico Biology. 6(4). 307–310. 7 indexed citations
17.
Sabel, Michael S., Alisha Arora, Gang Su, & Alfred E. Chang. (2006). Adoptive immunotherapy of breast cancer with lymph node cells primed by cryoablation of the primary tumor. Cryobiology. 53(3). 360–366. 50 indexed citations
18.
Su, Gang, Binchen Mao, & Jin Wang. (2006). A web server for transcription factor binding site prediction. Bioinformation. 1(5). 156–157. 5 indexed citations
19.
Arora, Alisha, Gang Su, Edith Mathiowitz, et al.. (2006). Neoadjuvant intratumoral cytokine‐loaded microspheres are superior to postoperative autologous cellular vaccines in generating systemic anti‐tumor immunity. Journal of Surgical Oncology. 94(5). 403–412. 23 indexed citations
20.
Sabel, Michael S., Matthew A. Nehs, Gang Su, et al.. (2005). Immunologic response to cryoablation of breast cancer. Breast Cancer Research and Treatment. 90(1). 97–104. 136 indexed citations

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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