Jian Geng

3.0k total citations · 2 hit papers
23 papers, 2.1k citations indexed

About

Jian Geng is a scholar working on Molecular Biology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jian Geng has authored 23 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Infectious Diseases and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jian Geng's work include COVID-19 Clinical Research Studies (4 papers), Lepidoptera: Biology and Taxonomy (3 papers) and Cancer Diagnosis and Treatment (3 papers). Jian Geng is often cited by papers focused on COVID-19 Clinical Research Studies (4 papers), Lepidoptera: Biology and Taxonomy (3 papers) and Cancer Diagnosis and Treatment (3 papers). Jian Geng collaborates with scholars based in China, United States and Canada. Jian Geng's co-authors include Wei Kang, Junjie Cai, Zhuguo Li, Hui-xia Han, Hong Shen, Xin Li, Yanqing Ding, Huijun Wang, Qingling Zhang and Li He and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Environmental Pollution.

In The Last Decade

Jian Geng

23 papers receiving 2.1k citations

Hit Papers

Organ distribution of sev... 2003 2026 2010 2018 2004 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian Geng China 14 1.1k 596 432 218 217 23 2.1k
Jinjun Ji China 19 501 0.4× 248 0.4× 217 0.5× 65 0.3× 31 0.1× 63 1.8k
Yang Sun China 31 153 0.1× 64 0.1× 777 1.8× 277 1.3× 428 2.0× 138 2.7k
Lin Fu China 29 170 0.2× 47 0.1× 803 1.9× 176 0.8× 150 0.7× 121 2.5k
Masatoshi Hayashi Japan 24 69 0.1× 124 0.2× 315 0.7× 83 0.4× 57 0.3× 191 2.1k
Mira Choi Germany 24 251 0.2× 26 0.0× 358 0.8× 61 0.3× 112 0.5× 85 1.7k
Kui Liu China 18 88 0.1× 49 0.1× 203 0.5× 130 0.6× 52 0.2× 45 1.1k
Nirmal S. Panesar Hong Kong 19 147 0.1× 42 0.1× 352 0.8× 112 0.5× 120 0.6× 64 1.4k
Yuhao Zhang China 24 193 0.2× 66 0.1× 984 2.3× 112 0.5× 606 2.8× 78 1.7k
Kristian M. Bowles United Kingdom 37 83 0.1× 163 0.3× 2.0k 4.5× 793 3.6× 566 2.6× 117 4.4k
Jennifer Crowe United States 19 412 0.4× 144 0.2× 327 0.8× 178 0.8× 36 0.2× 33 1.7k

Countries citing papers authored by Jian Geng

Since Specialization
Citations

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

Fields of papers citing papers by Jian Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Geng. A scholar is included among the top collaborators of Jian Geng 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 Jian Geng. Jian Geng 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.
Nie, Sheng, Nan Jia, Haobo Chen, et al.. (2025). Artificial intelligence-assisted diagnosis of glomerular nephritis using a pathological image analysis approach: a multicentre model development and validation study. EClinicalMedicine. 89. 103530–103530. 1 indexed citations
2.
Sun, Yu, Hua Huang, Yudong Liu, et al.. (2021). Organization and phylogenetic relationships of the mitochondrial genomes of Speiredonia retorta and other lepidopteran insects. Scientific Reports. 11(1). 2957–2957. 13 indexed citations
3.
Yang, Chunhui, Pan Yang, Jian Geng, Hongbin Yin, & Kaining Chen. (2020). Sediment internal nutrient loading in the most polluted area of a shallow eutrophic lake (Lake Chaohu, China) and its contribution to lake eutrophication. Environmental Pollution. 262. 114292–114292. 203 indexed citations
4.
Guo, Hui, Ying Sheng, Wei Li, et al.. (2020). Coagulopathy as a Prodrome of Cytokine Storm in COVID-19-Infected Patients. Frontiers in Medicine. 7. 572989–572989. 8 indexed citations
5.
Sun, Yu, Hua Huang, Xiaojuan Zhang, et al.. (2020). The complete mitochondrial genome of the Papilio paris (Lepidoptera: Papilionidae). SHILAP Revista de lepidopterología. 5(1). 733–735. 5 indexed citations
6.
Zheng, Yuanyuan, Xiaojun Li, Jian Geng, et al.. (2019). The circRNA circPTPRA suppresses epithelial-mesenchymal transitioning and metastasis of NSCLC cells by sponging miR-96-5p. EBioMedicine. 44. 182–193. 145 indexed citations
7.
Sun, Yu, Xiaojuan Zhang, Shanshan Liu, et al.. (2019). The complete mitochondrial genome of the Parasa tessellata (Lepidoptera: Limacodidae). SHILAP Revista de lepidopterología. 4(1). 1690–1691. 1 indexed citations
8.
Xia, Jun, Aamir Ahmad, Bin Bao, et al.. (2012). Genistein Inhibits Cell Growth and Induces Apoptosis Through Up-regulation of miR-34a in Pancreatic Cancer Cells. Current Drug Targets. 13(14). 1750–1756. 106 indexed citations
9.
Zheng, Yu, et al.. (2012). Slit2 Overexpression Results in Increased Microvessel Density and Lesion Size in Mice With Induced Endometriosis. Reproductive Sciences. 20(3). 285–298. 22 indexed citations
10.
Zhang, Jie, Yuncong Yao, Ji Tian, et al.. (2012). Isolation and expression of McF3H gene in the leaves of crabapple. Acta Physiologiae Plantarum. 34(4). 1353–1361. 19 indexed citations
11.
Liao, Wu Xiang, et al.. (2010). Perspectives of SLIT/ROBO signaling in placental angiogenesis.. PubMed. 25(9). 1181–90. 22 indexed citations
12.
Wang, Rui, et al.. (2009). Overexpression of eukaryotic initiation factor 4E (eIF4E) and its clinical significance in lung adenocarcinoma. Lung Cancer. 66(2). 237–244. 44 indexed citations
13.
Lü, Jin, et al.. (2008). [Inhibition of bFGF gene expression and tumor angiogenesis of orthotopic implantation of human gastric carcinoma by N-desulfated heparin].. PubMed. 25(1). 78–81. 1 indexed citations
15.
Ding, Yanqing, Li He, Qingling Zhang, et al.. (2004). Organ distribution of severe acute respiratory syndrome (SARS) associated coronavirus (SARS‐CoV) in SARS patients: implications for pathogenesis and virus transmission pathways. The Journal of Pathology. 203(2). 622–630. 793 indexed citations breakdown →
16.
Ding, Yan-qing, Wei Wang, Qingling Zhang, et al.. (2003). [Expression of immune cells and their roles in the involved tissues of SARS patients].. PubMed. 23(8). 774–6, 780. 3 indexed citations
17.
Ding, Yanqing, Huijun Wang, Hong Shen, et al.. (2003). The clinical pathology of severe acute respiratory syndrome (SARS): a report from China. The Journal of Pathology. 200(3). 282–289. 567 indexed citations breakdown →
18.
Zhang, Qingling, Yan-qing Ding, Li He, et al.. (2003). [Detection of cell apoptosis in the pathological tissues of patients with SARS and its significance].. PubMed. 23(8). 770–3. 20 indexed citations
20.
Aeed, Paul A., Jian Geng, Darwin Asa, et al.. (2001). Partial characterization of the N-linked oligosaccharide structures on P-selectin glycoprotein ligand-1 (PSGL-1). Cell Research. 11(1). 28–36. 10 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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