Minlong Shi

1.7k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

Minlong Shi is a scholar working on Molecular Biology, Immunology and Allergy and Hematology. According to data from OpenAlex, Minlong Shi has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and Allergy and 2 papers in Hematology. Recurrent topics in Minlong Shi's work include Cell Adhesion Molecules Research (4 papers), Platelet Disorders and Treatments (2 papers) and TGF-β signaling in diseases (2 papers). Minlong Shi is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), Platelet Disorders and Treatments (2 papers) and TGF-β signaling in diseases (2 papers). Minlong Shi collaborates with scholars based in China, United States and Singapore. Minlong Shi's co-authors include Timothy A. Springer, Rui Wang, Jianghai Zhu, Thomas Walz, Xing Chen, Li-Zhi Mi, Chafen Lu, Xianchi Dong, S.K. Alex Law and Suet‐Mien Tan and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Nanotechnology.

In The Last Decade

Minlong Shi

7 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Latent TGF-β structure and activation

2011 796 citations Minlong Shi, Jianghai Zhu et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minlong Shi China	7	549	213	209	200	132	7	1.1k
Seiji Mori Japan	20	490 0.9×	192 0.9×	86 0.4×	289 1.4×	104 0.8×	45	1000
Sivan Harel United States	13	529 1.0×	143 0.7×	305 1.5×	95 0.5×	270 2.0×	28	1.7k
Hans-Jörg Bühring Germany	14	577 1.1×	113 0.5×	284 1.4×	212 1.1×	195 1.5×	16	1.3k
Chad E. Harris United States	18	734 1.3×	189 0.9×	539 2.6×	152 0.8×	250 1.9×	30	1.4k
Brian A. MacDonald United States	9	388 0.7×	162 0.8×	93 0.4×	231 1.2×	165 1.3×	13	923
Henrik J. Jürgensen Denmark	18	322 0.6×	211 1.0×	343 1.6×	290 1.4×	90 0.7×	25	1.1k
D. Soligo Italy	13	471 0.9×	128 0.6×	175 0.8×	211 1.1×	70 0.5×	20	1.1k
Cédric Zeltz Norway	19	466 0.8×	344 1.6×	143 0.7×	304 1.5×	382 2.9×	26	1.2k
Caroline Hutter Austria	15	363 0.7×	116 0.5×	350 1.7×	211 1.1×	178 1.3×	32	1.2k
Toru Nishi Japan	25	750 1.4×	64 0.3×	247 1.2×	226 1.1×	144 1.1×	70	2.0k

Countries citing papers authored by Minlong Shi

Since Specialization

Citations

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

Fields of papers citing papers by Minlong Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minlong Shi

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Li, Ling, Lijian Feng, Minlong Shi, et al.. (2017). Split luciferase-based biosensors for characterizing EED binders. Analytical Biochemistry. 522. 37–45. 6 indexed citations

2.

Lin, Liang, Ling Liu, Bing Zhao, et al.. (2015). Carbon nanotube-assisted optical activation of TGF-β signalling by near-infrared light. Nature Nanotechnology. 10(5). 465–471. 63 indexed citations

3.

Wang, Rui, Jianghai Zhu, Xianchi Dong, et al.. (2012). GARP regulates the bioavailability and activation of TGFβ. Molecular Biology of the Cell. 23(6). 1129–1139. 138 indexed citations

4.

Shi, Minlong, Jianghai Zhu, Rui Wang, et al.. (2011). Latent TGF-β structure and activation. Nature. 474(7351). 343–349. 796 indexed citations breakdown →

5.

Cheng, Ming, Minlong Shi, Renhong Tang, et al.. (2007). Mutation of a Conserved Asparagine in the I-like Domain Promotes Constitutively Active Integrins αLβ2 and αIIbβ3. Journal of Biological Chemistry. 282(25). 18225–18232. 26 indexed citations

6.

Shi, Minlong, Shen Yun Foo, Suet‐Mien Tan, et al.. (2007). A Structural Hypothesis for the Transition between Bent and Extended Conformations of the Leukocyte β2 Integrins. Journal of Biological Chemistry. 282(41). 30198–30206. 41 indexed citations

7.

Zhang, Min, Minlong Shi, Zheng Zhou, et al.. (2006). Production of Alcaligenes faecalis penicillin G acylase in Bacillus subtilis WB600 (pMA5) fed with partially hydrolyzed starch. Enzyme and Microbial Technology. 39(4). 555–560. 23 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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