Yu-Te Lin

38 total papers · 1.0k total citations
32 papers, 794 citations indexed

About

Yu-Te Lin is a scholar working on Ecology, Molecular Biology and Soil Science. According to data from OpenAlex, Yu-Te Lin has authored 32 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Ecology, 20 papers in Molecular Biology and 16 papers in Soil Science. Recurrent topics in Yu-Te Lin's work include Microbial Community Ecology and Physiology (22 papers), Soil Carbon and Nitrogen Dynamics (16 papers) and Genomics and Phylogenetic Studies (10 papers). Yu-Te Lin is often cited by papers focused on Microbial Community Ecology and Physiology (22 papers), Soil Carbon and Nitrogen Dynamics (16 papers) and Genomics and Phylogenetic Studies (10 papers). Yu-Te Lin collaborates with scholars based in Taiwan, United States and China. Yu-Te Lin's co-authors include Chih‐Yu Chiu, Wung Yang Shieh, William B. Whitman, David C. Coleman, Wen Dar Jean, Sen‐Lin Tang, Zhongjun Jia, Min Tseng, Ming‐Ju Chen and Sheng‐Yao Wang and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Journal of Dairy Science.

In The Last Decade

Yu-Te Lin

31 papers receiving 779 citations

Author Peers

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

Author						Papers	Cites
Yu-Te Lin	413	362	219	160	77	32	794
Sun-Ho Yoo	281 0.7×	231 0.6×	150 0.7×	195 1.2×	35 0.5×	35	690
Arturo Fabiani	181 0.4×	236 0.7×	163 0.7×	458 2.9×	35 0.5×	26	820
Erinne Stirling	444 1.1×	253 0.7×	188 0.9×	254 1.6×	29 0.4×	28	872
Ademir Durrer	283 0.7×	198 0.5×	255 1.2×	361 2.3×	38 0.5×	23	845
Nan Liu	160 0.4×	137 0.4×	226 1.0×	349 2.2×	64 0.8×	69	873
Duncan White	263 0.6×	275 0.8×	97 0.4×	160 1.0×	43 0.6×	29	789
Silvia Gschwendtner	216 0.5×	120 0.3×	232 1.1×	257 1.6×	25 0.3×	38	734
Jae–Ho Joa	256 0.6×	238 0.7×	183 0.8×	363 2.3×	37 0.5×	60	709
Weitao Li	373 0.9×	219 0.6×	272 1.2×	292 1.8×	15 0.2×	53	898
Suzanne M. Kosina	187 0.5×	203 0.6×	94 0.4×	333 2.1×	40 0.5×	31	697

Countries citing papers authored by Yu-Te Lin

Since Specialization

Citations

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

Fields of papers citing papers by Yu-Te Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Te 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 Yu-Te Lin. The network helps show where Yu-Te Lin may publish in the future.

Co-authorship network of co-authors of Yu-Te Lin

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