Jiming Yin

1.6k total citations
42 papers, 1.2k citations indexed

About

Jiming Yin is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Jiming Yin has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 10 papers in Epidemiology and 9 papers in Surgery. Recurrent topics in Jiming Yin's work include COVID-19 Clinical Research Studies (7 papers), Apelin-related biomedical research (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Jiming Yin is often cited by papers focused on COVID-19 Clinical Research Studies (7 papers), Apelin-related biomedical research (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Jiming Yin collaborates with scholars based in China, United States and Russia. Jiming Yin's co-authors include Dong-Lou Xiao, Dexi Chen, Luxin Qiao, Yingmei Feng, Ronghua Jin, Feili Wei, Lijun Pang, Xianghua Guo, Yabo Ouyang and Wenjing Wang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Jiming Yin

41 papers receiving 1.2k citations

Peers

Jiming Yin

EPIDE

IMMUN

Wichai Supanaranond Thailand

Miho Yamamoto Japan

Ling Wang China

Resmi Ravindran United States

Eva M. Carmona United States

Taraprasad Das India

Xing Wu China

Young Jae Kim South Korea

Nayebali Ahmadi Iran

Rachel E. Cianciolo United States

Wichai Supanaranond Thailand

Jiming Yin

243 ×0.6

231 ×0.7

EPIDE

165 ×0.7

32 ×0.2

164 ×0.9

IMMUN

Citations per year, relative to Jiming Yin Jiming Yin (= 1×) peers Wichai Supanaranond

Countries citing papers authored by Jiming Yin

Since Specialization

Citations

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

Fields of papers citing papers by Jiming Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiming Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Jiming Yin. A scholar is included among the top collaborators of Jiming Yin 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 Jiming Yin. Jiming Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chang, Jing, et al.. (2025). Apelin/APJ alleviates diabetic nephropathy by improving glomerular endothelial cells dysfunction via SIRT3‑KLF15. Molecular Medicine Reports. 31(5). 1–12. 3 indexed citations

Zhang, Jie, et al.. (2024). Soluble RAGE attenuates myocardial I/R injury by suppressing interleukin-6. The American Journal of the Medical Sciences. 369(2). 228–237. 1 indexed citations

Liu, Yu, et al.. (2024). Apelin/APJ increased renal blood flow through endothelial BKCa channel induced p-eNOS and ET-1 in diabetic conditions. Peptides. 183. 171333–171333. 1 indexed citations

Zhang, Yuejie, et al.. (2021). Diabetic Bone Marrow Cell Injection Accelerated Acute Pancreatitis Progression. Journal of Immunology Research. 2021. 1–14. 3 indexed citations

Feng, X Y, Jiming Yin, Jiaying Zhang, et al.. (2021). Longitudinal Profiling of Antibody Response in Patients With COVID-19 in a Tertiary Care Hospital in Beijing, China. Frontiers in Immunology. 12. 614436–614436. 12 indexed citations

Li, Aixin, Jiming Yin, Xiaojie Huang, et al.. (2021). A preliminary study on the characteristics of Th1/Th2 immune response in cerebrospinal fluid of AIDS patients with cryptococcal meningitis. BMC Infectious Diseases. 21(1). 500–500. 4 indexed citations

Shu, Yaqing, Jun Guo, Xueying Ma, et al.. (2020). Anti‐N‐methyl‐D‐aspartate receptor (NMDAR) encephalitis is associated with IRF7, BANK1 and TBX21 polymorphisms in two populations. European Journal of Neurology. 28(2). 595–601. 18 indexed citations

Wang, Wenjing, Bin Su, Lijun Pang, et al.. (2020). High-dimensional immune profiling by mass cytometry revealed immunosuppression and dysfunction of immunity in COVID-19 patients. Cellular and Molecular Immunology. 17(6). 650–652. 99 indexed citations

Shi, Hongbo, Wenjing Wang, Jiming Yin, et al.. (2020). The inhibition of IL-2/IL-2R gives rise to CD8+ T cell and lymphocyte decrease through JAK1-STAT5 in critical patients with COVID-19 pneumonia. Cell Death and Disease. 11(6). 429–429. 63 indexed citations

10.

Hu, Zhongjie, Jia Xu, Jiming Yin, et al.. (2020). Lower Circulating Interferon-Gamma Is a Risk Factor for Lung Fibrosis in COVID-19 Patients. Frontiers in Immunology. 11. 585647–585647. 89 indexed citations

11.

Su, Bin, Jiming Yin, Xingguang Lin, et al.. (2020). Quantification of SARS-CoV-2 antigen levels in the blood of patients with COVID-19. Science China Life Sciences. 64(7). 1193–1196. 6 indexed citations

12.

Wang, Wenjing, Shubin Niu, Luxin Qiao, et al.. (2019). Usnea Acid as Multidrug Resistance (MDR) Reversing Agent against Human Chronic Myelogenous Leukemia K562/ADR Cells via an ROS Dependent Apoptosis. BioMed Research International. 2019. 1–7. 5 indexed citations

13.

Yin, Jiming, Jing Chang, Bin Li, et al.. (2018). Apelin inhibited epithelial−mesenchymal transition of podocytes in diabetic mice through downregulating immunoproteasome subunits β5i. Cell Death and Disease. 9(10). 1031–1031. 23 indexed citations

14.

Pang, Lijun, Kai Liu, Daojie Liu, et al.. (2018). Differential effects of reticulophagy and mitophagy on nonalcoholic fatty liver disease. Cell Death and Disease. 9(2). 90–90. 46 indexed citations

15.

Guo, Xianghua, et al.. (2017). The Δ133p53 Isoform Reduces Wtp53-induced Stimulation of DNA Pol γ Activity in the Presence and Absence of D4T. Aging and Disease. 8(2). 228–228. 10 indexed citations

16.

Xie, Fang, Ying Shi, Jiming Yin, et al.. (2014). ASPP 2 attenuates triglycerides to protect against hepatocyte injury by reducing autophagy in a cell and mouse model of non‐alcoholic fatty liver disease. Journal of Cellular and Molecular Medicine. 19(1). 155–164. 24 indexed citations

17.

Liu, Kai, Yu Sun, Daojie Liu, et al.. (2013). Mitochondrial Toxicity Studied with the PBMC of Children from the Chinese National Pediatric Highly Active Antiretroviral Therapy Cohort. PLoS ONE. 8(2). e57223–e57223. 14 indexed citations

18.

Lin, Yuan, Luxin Qiao, Feili Wei, et al.. (2013). Cytokines in CSF correlate with HIV-associated neurocognitive disorders in the post-HAART era in China. Journal of NeuroVirology. 19(2). 144–149. 93 indexed citations

19.

Jiao, Yanmei, Tong Zhang, Rui Wang, et al.. (2012). Plasma IP-10 Is Associated with Rapid Disease Progression in Early HIV-1 Infection. Viral Immunology. 25(4). 333–337. 67 indexed citations

20.

Yin, Jiming, Maryanne Vahey, Mark G. Lewis, et al.. (2012). Plasmodium inui Infection Reduces the Efficacy of a Simian Immunodeficiency Virus DNA Vaccine in a Rhesus Macaque Model Through Alteration of the Vaccine-Induced Immune Response. The Journal of Infectious Diseases. 206(4). 523–33. 7 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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