I‐Lin Tsai

110 total papers · 1.9k total citations
63 papers, 1.5k citations indexed

About

I‐Lin Tsai is a scholar working on Molecular Biology, Pharmacology and Immunology. According to data from OpenAlex, I‐Lin Tsai has authored 63 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 11 papers in Pharmacology and 11 papers in Immunology. Recurrent topics in I‐Lin Tsai's work include Antibiotics Pharmacokinetics and Efficacy (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Glycosylation and Glycoproteins Research (7 papers). I‐Lin Tsai is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Glycosylation and Glycoproteins Research (7 papers). I‐Lin Tsai collaborates with scholars based in Taiwan, Canada and Malaysia. I‐Lin Tsai's co-authors include Ching‐Hua Kuo, Fwu‐Long Mi, Hsiao‐Wei Liao, San‐Yuan Wang, Yi‐Cheng Ho, Min‐Lang Tsai, Chi Lin, Guan‐Yuan Chen, Michael Chen and Liting Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Cancer Research.

In The Last Decade

I‐Lin Tsai

59 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
I‐Lin Tsai 585 233 212 209 202 63 1.5k
Weifeng Zhu 728 1.2× 216 0.9× 259 1.2× 136 0.7× 159 0.8× 124 2.1k
Zeneng Cheng 846 1.4× 117 0.5× 259 1.2× 213 1.0× 171 0.8× 124 2.1k
Rubiya Khursheed 491 0.8× 262 1.1× 254 1.2× 263 1.3× 273 1.4× 67 2.0k
Sarasija Suresh 471 0.8× 339 1.5× 166 0.8× 146 0.7× 134 0.7× 67 2.0k
Connie M. Remsberg 631 1.1× 234 1.0× 180 0.8× 154 0.7× 179 0.9× 41 1.9k
Agha Zeeshan Mirza 511 0.9× 190 0.8× 89 0.4× 155 0.7× 202 1.0× 66 1.5k
Hui Zhou 753 1.3× 136 0.6× 72 0.3× 269 1.3× 186 0.9× 84 1.9k
Bhupinder Kapoor 532 0.9× 295 1.3× 180 0.8× 322 1.5× 189 0.9× 91 2.1k
Albin Kristl 351 0.6× 143 0.6× 89 0.4× 119 0.6× 130 0.6× 73 1.8k
Yusrida Darwis 424 0.7× 260 1.1× 305 1.4× 145 0.7× 95 0.5× 51 2.0k

Countries citing papers authored by I‐Lin Tsai

Since Specialization
Citations

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

Fields of papers citing papers by I‐Lin Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I‐Lin Tsai

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