Sheng‐Wei Lin

44 total papers · 873 total citations
39 papers, 666 citations indexed

About

Sheng‐Wei Lin is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Sheng‐Wei Lin has authored 39 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Immunology. Recurrent topics in Sheng‐Wei Lin's work include DNA Repair Mechanisms (8 papers), CRISPR and Genetic Engineering (6 papers) and PARP inhibition in cancer therapy (4 papers). Sheng‐Wei Lin is often cited by papers focused on DNA Repair Mechanisms (8 papers), CRISPR and Genetic Engineering (6 papers) and PARP inhibition in cancer therapy (4 papers). Sheng‐Wei Lin collaborates with scholars based in Taiwan, United States and China. Sheng‐Wei Lin's co-authors include Po‐Huang Liang, Yingming Wang, Vathan Kumar, Chun-Hung Lin, Chun‐Hung Lin, Chun‐Nan Lin, Peter Chi, Andrew H.-J. Wang, Tzu‐Ping Ko and Chia‐Ling Liu and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Sheng‐Wei Lin

37 papers receiving 662 citations

Author Peers

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

Author						Papers	Cites
Sheng‐Wei Lin	418	133	128	76	70	39	666
Per‐Georg Nyholm	509 1.2×	161 1.2×	158 1.2×	48 0.6×	30 0.4×	29	769
Nehru Viji Sankaranarayanan	373 0.9×	143 1.1×	59 0.5×	45 0.6×	42 0.6×	34	685
William McDowell	382 0.9×	165 1.2×	73 0.6×	53 0.7×	71 1.0×	25	763
Ralf Klingenstein	370 0.9×	147 1.1×	219 1.7×	45 0.6×	39 0.6×	22	753
Sameh H. Soror	406 1.0×	88 0.7×	49 0.4×	35 0.5×	24 0.3×	36	645
Thomas Vedvick	317 0.8×	69 0.5×	103 0.8×	32 0.4×	74 1.1×	12	698
Soenita S. Goerdayal	575 1.4×	99 0.7×	96 0.8×	129 1.7×	28 0.4×	15	788
Salwa Sabet	218 0.5×	72 0.5×	72 0.6×	99 1.3×	28 0.4×	33	594
Peter R. McDonald	455 1.1×	43 0.3×	79 0.6×	165 2.2×	26 0.4×	44	769
Nevena Veljković	398 1.0×	53 0.4×	100 0.8×	61 0.8×	23 0.3×	58	791

Countries citing papers authored by Sheng‐Wei Lin

Since Specialization

Citations

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

Fields of papers citing papers by Sheng‐Wei Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng‐Wei Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng‐Wei Lin. A scholar is included among the top collaborators of Sheng‐Wei 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 Sheng‐Wei Lin. Sheng‐Wei 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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