Hongping Jiang

1.6k total citations
21 papers, 1.1k citations indexed

About

Hongping Jiang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Hongping Jiang has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Immunology and 5 papers in Oncology. Recurrent topics in Hongping Jiang's work include interferon and immune responses (6 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Immunotherapy and Immune Responses (3 papers). Hongping Jiang is often cited by papers focused on interferon and immune responses (6 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Immunotherapy and Immune Responses (3 papers). Hongping Jiang collaborates with scholars based in United States, China and Switzerland. Hongping Jiang's co-authors include Paul B. Fisher, Jiao Jiao Lin, Neil I. Goldstein, Zao-zhong Su, David Daokui Li, Jian Lin, Fei Huang, Danny R. Welch, Meenhard Herlyn and Robert S. Kerbel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, American Economic Review and Oncogene.

In The Last Decade

Hongping Jiang

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongping Jiang United States 13 559 462 366 298 142 21 1.1k
Stephen L. Eck United States 21 591 1.1× 400 0.9× 283 0.8× 498 1.7× 52 0.4× 35 1.3k
Horst F. Kern Germany 23 540 1.0× 652 1.4× 156 0.4× 160 0.5× 219 1.5× 43 2.1k
Joseph R. Biggs United States 24 2.1k 3.8× 402 0.9× 140 0.4× 224 0.8× 184 1.3× 48 2.6k
Gloria Meng United States 18 1.2k 2.1× 565 1.2× 456 1.2× 100 0.3× 110 0.8× 21 2.3k
Donatella Venturelli Italy 23 1.1k 1.9× 307 0.7× 283 0.8× 173 0.6× 63 0.4× 58 1.8k
Parul Doshi United States 19 568 1.0× 787 1.7× 454 1.2× 119 0.4× 44 0.3× 49 1.6k
Lennart Ohlsson Sweden 19 260 0.5× 229 0.5× 615 1.7× 263 0.9× 20 0.1× 53 1.3k
Michael Cuddy United States 20 816 1.5× 306 0.7× 176 0.5× 56 0.2× 183 1.3× 44 1.3k
Indu Ramachandran United States 17 354 0.6× 541 1.2× 839 2.3× 34 0.1× 56 0.4× 31 1.6k
John Kay United Kingdom 20 562 1.0× 192 0.4× 119 0.3× 39 0.1× 119 0.8× 50 1.3k

Countries citing papers authored by Hongping Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Hongping Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongping Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongping Jiang. A scholar is included among the top collaborators of Hongping Jiang 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 Hongping Jiang. Hongping Jiang 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.
Tan, Meifang, et al.. (2025). Bacterial pathogens in Jiangxi poultry (2023–2024): Prevalence and antimicrobial resistance profiles. Poultry Science. 104(12). 105923–105923.
3.
Jiang, Hongping, et al.. (2025). Enhanced Cytotoxicity of 10α,9β-Abiraterone Analogues Synthesized via LED Photocatalysis. The Journal of Organic Chemistry. 90(25). 8628–8639.
4.
Faus‐Golfe, A., Hongping Jiang, Bowen Bai, et al.. (2024). Update in the optics design of monochromatization interaction region for direct Higgs s-channel production at FCC-ee. CERN Document Server (European Organization for Nuclear Research).
5.
Ding, Xiaoyong, et al.. (2012). [Novel derivatives of diosgenin: design, synthesis and anti-tumor activity].. PubMed. 47(4). 479–85. 2 indexed citations
6.
Jiang, Hongping, et al.. (2011). [Structure-activity relationship of diosgenin derivatives as Bcl-2 antagonists].. PubMed. 46(5). 539–47. 3 indexed citations
7.
Li, David Daokui, et al.. (2006). Institutional Entrepreneurs. American Economic Review. 96(2). 358–362. 95 indexed citations
8.
Kang, Dong‐Chul, Hongping Jiang, Qingping Wu, Sidney Pestka, & Paul B. Fisher. (2001). Cloning and characterization of human ubiquitin-processing protease-43 from terminally differentiated human melanoma cells using a rapid subtraction hybridization protocol RaSH. Gene. 267(2). 233–242. 61 indexed citations
9.
Simm, Malgorzata, Zao-zhong Su, Eric Yi‐Hsiu Huang, et al.. (2001). Cloning of differentially expressed genes in an HIV-1 resistant T cell clone by rapid subtraction hybridization, RaSH. Gene. 269(1-2). 93–101. 18 indexed citations
10.
11.
12.
Su, Zao-zhong, et al.. (1999). PEG-3, a nontransforming cancer progression gene, is a positive regulator of cancer aggressiveness and angiogenesis. Proceedings of the National Academy of Sciences. 96(26). 15115–15120. 43 indexed citations
13.
Lin, Jiao Jiao, Hongping Jiang, & Paul B. Fisher. (1998). Melanoma differentiation associated gene-9, mda-9, is a human gamma interferon responsive gene. Gene. 207(2). 105–110. 74 indexed citations
14.
Jiang, Hongping, Jiao Jiao Lin, Jing Tao, & Paul B. Fisher. (1997). Suppression of human ribosomal protein L23A expression during cell growth inhibition by interferon-β. Oncogene. 14(4). 473–480. 33 indexed citations
15.
Jiang, Hongping, Jiao Jiao Lin, Zao-zhong Su, Neil I. Goldstein, & Paul B. Fisher. (1995). Subtraction hybridization identifies a novel melanoma differentiation associated gene, mda-7, modulated during human melanoma differentiation, growth and progression.. PubMed. 11(12). 2477–86. 414 indexed citations
16.
Jiang, Hongping, Jian Lin, Neil I. Goldstein, et al.. (1995). Cell cycle gene expression and E2F transcription factor complexes in human melanoma cells induced to terminally differentiate.. PubMed. 11(6). 1179–89. 44 indexed citations
17.
Jiang, Hongping, Jian Lin, Zao-zhong Su, et al.. (1995). The melanoma differentiation-associated gene mda-6, which encodes the cyclin-dependent kinase inhibitor p21, is differentially expressed during growth, differentiation and progression in human melanoma cells.. PubMed. 10(9). 1855–64. 144 indexed citations
18.
Moulton, Thomas, Hongping Jiang, Ludovico Guarini, Michael R. Fetell, & Paul B. Fisher. (1992). Induction of growth suppression and modification of gene expression in multi‐drug‐resistant human glioblastoma multiforme cells by recombinant human fibroblast and immune interferon. International Journal of Cancer. 51(3). 373–378. 5 indexed citations
19.
Gutierrez, Maya, et al.. (1992). Modulation of the antigenic phenotype of human breast carcinoma cells by modifiers of protein kinase C activity and recombinant human interferons. Cancer Immunology Immunotherapy. 35(5). 315–324. 8 indexed citations
20.
Guarini, Ludovico, et al.. (1990). Modulation of the Antigenic Phenotype of Human Melanoma Cells by Differentiation‐inducing and Growth‐suppressing Agents. Pigment Cell Research. 3(S2). 123–131. 18 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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