Ming Shi

2.0k total citations
60 papers, 1.5k citations indexed

About

Ming Shi is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Ming Shi has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Hematology and 17 papers in Immunology. Recurrent topics in Ming Shi's work include Hematopoietic Stem Cell Transplantation (17 papers), Mesenchymal stem cell research (14 papers) and Immune Cell Function and Interaction (7 papers). Ming Shi is often cited by papers focused on Hematopoietic Stem Cell Transplantation (17 papers), Mesenchymal stem cell research (14 papers) and Immune Cell Function and Interaction (7 papers). Ming Shi collaborates with scholars based in China, Japan and United States. Ming Shi's co-authors include Mitsuo Ochi, Nobuo Adachi, Bin Chen, B. Li, Masakazu Ishikawa, Tomoyuki Nakasa, Lei Chen, Jing Li, Hao Jia and Lianming Liao and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Ming Shi

55 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Shi China 21 626 395 292 229 166 60 1.5k
Chunmei Zhang China 24 768 1.2× 651 1.6× 285 1.0× 370 1.6× 121 0.7× 101 2.2k
Weihua Yu China 28 998 1.6× 373 0.9× 385 1.3× 314 1.4× 172 1.0× 68 2.1k
Youjia Xu China 29 1.1k 1.8× 285 0.7× 379 1.3× 303 1.3× 69 0.4× 128 2.4k
Rosaria Giordano Italy 24 719 1.1× 647 1.6× 151 0.5× 506 2.2× 126 0.8× 91 1.8k
Gaetana A. Tonti Italy 20 410 0.7× 282 0.7× 330 1.1× 248 1.1× 79 0.5× 28 1.4k
Heesang Song South Korea 23 651 1.0× 533 1.3× 258 0.9× 484 2.1× 296 1.8× 68 1.8k
Juan Luo China 20 970 1.5× 185 0.5× 379 1.3× 160 0.7× 134 0.8× 43 1.9k
Yan Han China 18 720 1.2× 340 0.9× 284 1.0× 341 1.5× 198 1.2× 99 1.5k
Shing‐Jyh Chang Taiwan 22 729 1.2× 231 0.6× 318 1.1× 146 0.6× 100 0.6× 61 1.5k

Countries citing papers authored by Ming Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ming Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Shi. A scholar is included among the top collaborators of Ming Shi 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 Ming Shi. Ming Shi 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.
Cao, Jingyi, Yuhan Wang, Chunmei Zhang, et al.. (2025). Triphenyl phosphate induces lipid metabolism disorder and promotes obesity through PI3K/AKT signaling pathway. Environment International. 198. 109428–109428.
2.
3.
Zhang, Yanchao, Jingyi Cao, Mingwei Xu, et al.. (2025). Bisphenol F promoted the differentiation of preadipocytes via ER-mediated PI3K/AKT pathway. Food and Chemical Toxicology. 205. 115678–115678.
4.
Shi, Ming, Guicheng Wang, Lei Lei, et al.. (2023). An miRNA-mRNA integrative analysis in human placentas and mice: role of the Smad2/miR-155-5p axis in the development of fetal growth restriction. Frontiers in Bioengineering and Biotechnology. 11. 1159805–1159805. 5 indexed citations
5.
6.
Shi, Ming, Song Liu, Hui Wang, et al.. (2023). Effects of High-Water Fluoride Exposure on IQ Levels in School-Age Children: A Cross-Sectional Study in Jiangsu, China. Exposure and Health. 16(3). 885–895. 2 indexed citations
7.
Shi, Ming, et al.. (2022). Adaptive Gelatin Microspheres Enhanced Stem Cell Delivery and Integration With Diabetic Wounds to Activate Skin Tissue Regeneration. Frontiers in Bioengineering and Biotechnology. 10. 813805–813805. 34 indexed citations
8.
Chen, Hui‐Ling, Yanchao Zhang, Wei Zhang, et al.. (2022). Bisphenol F suppresses insulin-stimulated glucose metabolism in adipocytes by inhibiting IRS-1/PI3K/AKT pathway. Ecotoxicology and Environmental Safety. 231. 113201–113201. 27 indexed citations
9.
Wang, Yao, Ming Shi, Lianxian Guo, et al.. (2021). Triphenyl phosphate disturbs the lipidome and induces endoplasmic reticulum stress and apoptosis in JEG-3 cells. Chemosphere. 275. 129978–129978. 37 indexed citations
10.
Shi, Mingjie, Xinlin Chen, Wenfeng Zhang, et al.. (2020). Estrogen receptor-regulated SOCS3 modulation via JAK2/STAT3 pathway is involved in BPF-induced M1 polarization of macrophages. Toxicology. 433-434. 152404–152404. 29 indexed citations
11.
Xiao, Tian, Zhonglan Zou, Junchao Xue, et al.. (2020). LncRNA H19-mediated M2 polarization of macrophages promotes myofibroblast differentiation in pulmonary fibrosis induced by arsenic exposure. Environmental Pollution. 268(Pt A). 115810–115810. 64 indexed citations
12.
Kamei, Naosuke, Goki Kamei, Ming Shi, et al.. (2013). Magnetic Targeting of Human Peripheral Blood CD133 + Cells for Skeletal Muscle Regeneration. Tissue Engineering Part C Methods. 19(8). 631–641. 7 indexed citations
13.
Zhang, Yuming, Naoki Hosaka, Yunze Cui, et al.. (2011). Effects of Intrabone Marrow–Bone Marrow Transplantation Plus Adult Thymus Transplantation on Survival of Mice Bearing Leukemia. Stem Cells and Development. 21(9). 1441–1448. 9 indexed citations
14.
Shigematsu, Akio, Ming Shi, Mitsuhiko Okigaki, et al.. (2010). Signaling from Fibroblast Growth Factor Receptor 2 in Immature Hematopoietic Cells Facilitates Donor Hematopoiesis After Intra-Bone Marrow–Bone Marrow Transplantation. Stem Cells and Development. 19(11). 1679–1686. 5 indexed citations
15.
Shi, Ming, Yasushi Adachi, Yunze Cui, et al.. (2010). Combination of Intra-Bone Marrow–Bone Marrow Transplantation and Subcutaneous Donor Splenocyte Injection Diminishes Risk of Graft-Versus-Host Disease and Enhances Survival Rate. Stem Cells and Development. 20(5). 759–768. 11 indexed citations
16.
Zhang, Yuming, Naoki Hosaka, Yunze Cui, Ming Shi, & Susumu Ikehara. (2010). Effects of Allogeneic Hematopoietic Stem Cell Transplantation Plus Thymus Transplantation on Malignant Tumors: Comparison Between Fetal, Newborn, and Adult Mice. Stem Cells and Development. 20(4). 599–607. 7 indexed citations
17.
Adachi, Yasushi, Ming Shi, Mitsuhiko Okigaki, et al.. (2009). Caspase Inhibitor ZVAD-fmk Facilitates Engraftment of Donor Hematopoietic Stem Cells in Intra–Bone Marrow–Bone Marrow Transplantation. Stem Cells and Development. 19(4). 461–468. 9 indexed citations
18.
Adachi, Yuichiro, Ming Shi, Y. Imai, et al.. (2009). The combination method using magnetic beads and a magnet helps sustain the number of donor BM cells after intra-BM injection, resulting in rapid hematopoietic recovery. Bone Marrow Transplantation. 45(6). 993–999. 4 indexed citations
19.
Song, Changye, Hiroko Hisha, Xiaoli Wang, et al.. (2008). Facilitation of hematopoietic recovery by bone grafts with intra-bone marrow–bone marrow transplantation. Immunobiology. 213(6). 455–468. 5 indexed citations
20.
Shigematsu, Akio, Yasushi Adachi, Junko Matsubara, et al.. (2008). Analyses of Expression of Cytoglobin by Immunohistochemical Studies in Human Tissues. Hemoglobin. 32(3). 287–296. 16 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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