Min Xin

445 total citations
12 papers, 346 citations indexed

About

Min Xin is a scholar working on Molecular Biology, Hematology and Surgery. According to data from OpenAlex, Min Xin has authored 12 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Surgery. Recurrent topics in Min Xin's work include Platelet Disorders and Treatments (4 papers), Blood disorders and treatments (2 papers) and Microtubule and mitosis dynamics (2 papers). Min Xin is often cited by papers focused on Platelet Disorders and Treatments (4 papers), Blood disorders and treatments (2 papers) and Microtubule and mitosis dynamics (2 papers). Min Xin collaborates with scholars based in China, United States and France. Min Xin's co-authors include Stephen A. Osmani, Xin Xiang, Norman Morris, A.H. Osmani, Wenjun Huang, Yanhong Guo, Xiaodong Fu, Junling Liu, Xuemei Fan and Yanyan Xu and has published in prestigious journals such as Blood, Journal of Hepatology and Molecular Biology of the Cell.

In The Last Decade

Min Xin

9 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Xin China 5 248 215 42 36 34 12 346
Christopher J. Sifuentes United States 10 235 0.9× 64 0.3× 45 1.1× 29 0.8× 48 1.4× 13 334
Aya Taniguchi Japan 7 147 0.6× 47 0.2× 47 1.1× 28 0.8× 73 2.1× 9 330
Sreekumar Ramachandran United States 9 399 1.6× 299 1.4× 13 0.3× 45 1.3× 41 1.2× 15 549
Maribel Osinde Switzerland 6 288 1.2× 72 0.3× 25 0.6× 14 0.4× 59 1.7× 7 394
Galynn Zitnik United States 9 298 1.2× 24 0.1× 21 0.5× 61 1.7× 32 0.9× 17 384
Kaly A. Mueller United States 9 158 0.6× 142 0.7× 10 0.2× 10 0.3× 38 1.1× 13 320
Emily Tuttle United States 7 211 0.9× 62 0.3× 9 0.2× 113 3.1× 42 1.2× 10 314
Yukiko Noda Japan 7 280 1.1× 140 0.7× 6 0.1× 23 0.6× 29 0.9× 10 405
Ruth E. Carmichael United Kingdom 12 313 1.3× 66 0.3× 9 0.2× 37 1.0× 53 1.6× 21 401

Countries citing papers authored by Min Xin

Since Specialization
Citations

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

Fields of papers citing papers by Min Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Xin

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

All Works

12 of 12 papers shown
2.
Guo, Licheng, Chuan Gao, Min Xin, et al.. (2025). Activation of the pentose phosphate pathway mitigates platelet storage lesions and improves platelet preservation quality. Thrombosis Research. 252. 109377–109377.
3.
Lin, Xiangjie, Min Xin, Xia Li, et al.. (2025). α-Actinin-1 deficiency in megakaryocytes causes low platelet count, platelet dysfunction, and mitochondrial impairment. Blood Advances. 9(5). 1185–1201. 2 indexed citations
4.
Huang, Shaoxin, et al.. (2025). Genetic insights into the relationship between anti-inflammatory drug target genes and oral diseases. Inflammopharmacology. 33(10). 6149–6163.
5.
Cao, Zhujun, Yuhan Liu, Haiguang Xin, et al.. (2024). Blood markers for type-1, -2, and -3 inflammation are associated with severity of acutely decompensated cirrhosis. Journal of Hepatology. 82(5). 836–850. 3 indexed citations
6.
Li, Guoming, Haojie Jiang, Lingbin Wang, et al.. (2024). The role of PALLD-STAT3 interaction in megakaryocyte differentiation and thrombocytopenia treatment. Haematologica. 109(11). 3693–3704. 2 indexed citations
7.
Zhang, Lin, Mina Yang, Min Xin, et al.. (2023). Branched-chain amino acids promote thrombocytopoiesis by activating mTOR signaling. Journal of Thrombosis and Haemostasis. 21(11). 3224–3235. 9 indexed citations
8.
Huang, Jiansong, et al.. (2023). Mice Lacking α-Actinin-1 in Megakaryocytes Display the Feature of Thrombocytopenia and Impair Platelet Functions. Blood. 142(Supplement 1). 2576–2576. 1 indexed citations
9.
Xin, Min, Lingjun Wang, Lin Li, et al.. (2022). Inhibition of LDHA to induce eEF2 release enhances thrombocytopoiesis. Blood. 139(19). 2958–2971. 15 indexed citations
10.
Huang, Wenjun, et al.. (2013). Testosterone promotes vascular endothelial cell migration via upregulation of ROCK-2/moesin cascade. Molecular Biology Reports. 40(12). 6729–6735. 22 indexed citations
11.
Xiang, Xin, A.H. Osmani, Stephen A. Osmani, et al.. (1995). Analysis of Nuclear Migration in Aspergillus nidulans. Cold Spring Harbor Symposia on Quantitative Biology. 60(0). 813–819. 13 indexed citations
12.
Xiang, Xin, A.H. Osmani, Stephen A. Osmani, Min Xin, & Norman Morris. (1995). NudF, a nuclear migration gene in Aspergillus nidulans, is similar to the human LIS-1 gene required for neuronal migration.. Molecular Biology of the Cell. 6(3). 297–310. 279 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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