Nan Deng

656 total citations · 1 hit paper
33 papers, 346 citations indexed

About

Nan Deng is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Nan Deng has authored 33 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Cancer Research and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Nan Deng's work include Genetic factors in colorectal cancer (8 papers), Gene expression and cancer classification (4 papers) and Bioinformatics and Genomic Networks (4 papers). Nan Deng is often cited by papers focused on Genetic factors in colorectal cancer (8 papers), Gene expression and cancer classification (4 papers) and Bioinformatics and Genomic Networks (4 papers). Nan Deng collaborates with scholars based in United States, China and Taiwan. Nan Deng's co-authors include Tim R. Mosmann, David Attwood, Hulin Wu, Siriporn Tanodekaew, Colin Booth, W. Jim Zheng, Shangming Jiang, Ling Ma, Jiayi Peng and S. C. Yuan and has published in prestigious journals such as Journal of Clinical Investigation, Gastroenterology and PLoS ONE.

In The Last Decade

Nan Deng

30 papers receiving 334 citations

Hit Papers

Endoplasmic reticulum stress and therapeutic strategies i... 2024 2026 2025 2024 10 20 30 40 50
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. Endoplasmic reticulum stress and therapeutic strategies in metabolic, neurodegenerative diseases and cancer
    2024 55 citations S. C. Yuan, Shangming Jiang et al. Molecular Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Deng United States 10 132 60 59 48 37 33 346
Jiangyu Zhang China 13 148 1.1× 22 0.4× 32 0.5× 52 1.1× 64 1.7× 52 482
Li Shi China 11 228 1.7× 17 0.3× 23 0.4× 85 1.8× 27 0.7× 49 430
Mark R. Condina Australia 16 383 2.9× 30 0.5× 55 0.9× 80 1.7× 30 0.8× 33 663
Nannan Liu China 10 149 1.1× 29 0.5× 53 0.9× 90 1.9× 37 1.0× 23 425
Boheng Li China 8 175 1.3× 13 0.2× 50 0.8× 58 1.2× 25 0.7× 20 326
Yana Shafran Israel 13 206 1.6× 19 0.3× 45 0.8× 72 1.5× 19 0.5× 33 517
Mingliang Chen China 12 111 0.8× 9 0.1× 46 0.8× 112 2.3× 19 0.5× 49 444
Haoyu Wang China 14 129 1.0× 137 2.3× 9 0.2× 19 0.4× 48 1.3× 50 487
Xia China 10 142 1.1× 11 0.2× 43 0.7× 65 1.4× 27 0.7× 70 419

Countries citing papers authored by Nan Deng

Since Specialization
Citations

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

Fields of papers citing papers by Nan Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Deng. A scholar is included among the top collaborators of Nan Deng 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 Nan Deng. Nan Deng 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.
2.
Düzağaç, Fahriye, Abel Martel-Martel, Laura Reyes-Uribe, et al.. (2025). Inhibition of histone methyltransferase EZH2 for immune interception of colorectal cancer in Lynch syndrome. JCI Insight. 10(6). 3 indexed citations
3.
Deng, Nan, Krishna M. Sinha, & Eduardo Vilar. (2024). MONET: a database for prediction of neoantigens derived from microsatellite loci. Frontiers in Immunology. 15. 1394593–1394593.
4.
Yuan, S. C., et al.. (2024). Endoplasmic reticulum stress and therapeutic strategies in metabolic, neurodegenerative diseases and cancer. Molecular Medicine. 30(1). 40–40. 55 indexed citations breakdown →
5.
Düzağaç, Fahriye, Nan Deng, Laura Reyes-Uribe, et al.. (2024). Genomic Landscape of Lynch Syndrome Colorectal Neoplasia Identifies Shared Mutated Neoantigens for Immunoprevention. Gastroenterology. 166(5). 787–801.e11. 17 indexed citations
6.
Guo, Lianbo, Yuanchao Liu, Nan Deng, et al.. (2023). Heavy metals high-sensitive detection by laser-induced breakdown spectroscopy based on radial electroosmotic flow-driven enrichment. Talanta. 267. 125199–125199. 8 indexed citations
7.
Kambal, Amal, Hoa Nguyen‐Phuc, Sara C. Di Rienzi, et al.. (2023). Human intestinal organoids from Cronkhite-Canada syndrome patients reveal link between serotonin and proliferation. Journal of Clinical Investigation. 133(21). 8 indexed citations
8.
Deng, Nan, Laura Reyes-Uribe, Edwin R. Parra, et al.. (2023). Naproxen chemoprevention induces proliferation of cytotoxic lymphocytes in Lynch Syndrome colorectal mucosa. Frontiers in Immunology. 14. 1162669–1162669. 3 indexed citations
9.
10.
Deng, Nan, Laura Reyes-Uribe, Edwin R. Parra, et al.. (2023). Naproxen Chemoprevention Induces Proliferation of Cytotoxic Lymphocytes in Lynch Syndrome Colorectal Mucosa. Zenodo (CERN European Organization for Nuclear Research).
11.
Gray, Stanton B., Laura Reyes-Uribe, Nan Deng, et al.. (2022). Comparative molecular genomic analyses of a spontaneous rhesus macaque model of mismatch repair-deficient colorectal cancer. PLoS Genetics. 18(4). e1010163–e1010163. 9 indexed citations
12.
13.
Kanzaki, Hirotaka, Xinfeng Zhang, Stacey Chung, et al.. (2021). Disabling the Nuclear Translocalization of RelA/NF-κB by a Small Molecule Inhibits Triple-Negative Breast Cancer Growth. Breast Cancer Targets and Therapy. Volume 13. 419–430. 4 indexed citations
14.
Li, Qianqian, Zhimei Li, Nan Deng, et al.. (2021). Built-in adjuvants for use in vaccines. European Journal of Medicinal Chemistry. 227. 113917–113917. 24 indexed citations
15.
Bookstein, Robert, Navid Farahani, Myriam Chévarie‐Davis, et al.. (2021). Recommendations for Specimen and Therapy Selection in Colorectal Cancer. Oncology and Therapy. 9(2). 451–469. 1 indexed citations
16.
Patra, Braja Gopal, et al.. (2020). A content-based literature recommendation system for datasets to improve data reusability – A case study on Gene Expression Omnibus (GEO) datasets. Journal of Biomedical Informatics. 104. 103399–103399. 34 indexed citations
17.
Deng, Nan, Yong Xu, Lei Li, et al.. (2020). Bmi1 drives the formation and development of intrahepatic cholangiocarcinoma independent of Ink4A/Arf repression. Pharmacological Research. 164. 105365–105365. 5 indexed citations
18.
Liu, Xiaoyun, Yan Jiao, Yanhong Cao, et al.. (2016). Decreased expression levels of Ifi genes is associated to the increased resistance to spontaneous arthritis disease in mice deficiency of IL-1RA. BMC Immunology. 17(1). 25–25. 6 indexed citations
19.
20.
Deng, Nan, Yan Jiao, Yanhong Cao, et al.. (2014). Genomic locus on chromosome 1 regulates susceptibility to spontaneous arthritis in mice deficiency of IL-1RA. BMC Immunology. 15(1). 57–57. 4 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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