Ming‐Tsung Lin

46 total papers · 634 total citations
34 papers, 480 citations indexed

About

Ming‐Tsung Lin is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Ming‐Tsung Lin has authored 34 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 28 papers in Hepatology and 3 papers in Surgery. Recurrent topics in Ming‐Tsung Lin's work include Liver Disease Diagnosis and Treatment (26 papers), Hepatitis C virus research (20 papers) and Hepatitis B Virus Studies (17 papers). Ming‐Tsung Lin is often cited by papers focused on Liver Disease Diagnosis and Treatment (26 papers), Hepatitis C virus research (20 papers) and Hepatitis B Virus Studies (17 papers). Ming‐Tsung Lin collaborates with scholars based in Taiwan and United States. Ming‐Tsung Lin's co-authors include Tsung‐Hui Hu, Kuo‐Chin Chang, Ming‐Chao Tsai, Yi‐Hao Yen, Po‐Lin Tseng, Cheng‐Kun Wu, Chien‐Hung Chen, Sheng‐Nan Lu, Chao‐Hung Hung and Jing‐Houng Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ming‐Tsung Lin

33 papers receiving 474 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ming‐Tsung Lin	315	298	124	60	46	34	480
Mustafa Yakut	291 0.9×	243 0.8×	154 1.2×	69 1.1×	15 0.3×	33	551
Bülent Baran	295 0.9×	215 0.7×	134 1.1×	56 0.9×	13 0.3×	56	543
Ferial El-Kalla	223 0.7×	243 0.8×	159 1.3×	40 0.7×	7 0.2×	29	414
Mohammed Q. Khan	268 0.9×	227 0.8×	158 1.3×	59 1.0×	6 0.1×	31	505
Adegboyega Akere	140 0.4×	105 0.4×	229 1.8×	91 1.5×	35 0.8×	50	431
Sara Lorente	154 0.5×	288 1.0×	260 2.1×	43 0.7×	13 0.3×	24	512
Hans Orlent	170 0.5×	151 0.5×	123 1.0×	70 1.2×	8 0.2×	42	440
Kâmil Özdil	190 0.6×	100 0.3×	207 1.7×	130 2.2×	18 0.4×	55	470
Azita Ganji	183 0.6×	75 0.3×	132 1.1×	117 1.9×	10 0.2×	41	426
Takao Tsuji	96 0.3×	93 0.3×	211 1.7×	87 1.4×	34 0.7×	37	440

Countries citing papers authored by Ming‐Tsung Lin

Since Specialization

Citations

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

Fields of papers citing papers by Ming‐Tsung Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Tsung Lin

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

All Works

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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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