Lisa N. Kinch

210 total papers · 19.6k total citations
139 papers, 8.8k citations indexed

About

Lisa N. Kinch is a scholar working on Molecular Biology, Materials Chemistry and Endocrinology. According to data from OpenAlex, Lisa N. Kinch has authored 139 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Molecular Biology, 27 papers in Materials Chemistry and 20 papers in Endocrinology. Recurrent topics in Lisa N. Kinch's work include Protein Structure and Dynamics (35 papers), RNA and protein synthesis mechanisms (32 papers) and Enzyme Structure and Function (27 papers). Lisa N. Kinch is often cited by papers focused on Protein Structure and Dynamics (35 papers), RNA and protein synthesis mechanisms (32 papers) and Enzyme Structure and Function (27 papers). Lisa N. Kinch collaborates with scholars based in United States, Poland and India. Lisa N. Kinch's co-authors include Nick V. Grishin, Kim Orth, Jonathan C. Cohen, Helen H. Hobbs, Jimin Pei, R. Dustin Schaeffer, Melanie L. Yarbrough, Vincent S. Tagliabracci, Yuxing Liao and Margaret A. Phillips and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Lisa N. Kinch

136 papers receiving 8.7k citations

Hit Papers

Molecular Characterizatio... 2006 2026 2012 2019 2006 2013 2009 2012 2020 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Lisa N. Kinch 5.1k 1.4k 972 960 881 139 8.8k
Yasutsugu Shimonishi 5.8k 1.1× 1.4k 1.0× 993 1.0× 1.3k 1.3× 285 0.3× 204 9.6k
Victor Ginsburg 5.8k 1.1× 702 0.5× 903 0.9× 1.9k 2.0× 199 0.2× 123 9.0k
Colin W. Ward 4.9k 0.9× 1.1k 0.8× 652 0.7× 578 0.6× 192 0.2× 166 9.7k
Boris Maček 10.7k 2.1× 908 0.6× 1.5k 1.6× 1.1k 1.1× 665 0.8× 203 14.6k
Gilbert Ashwell 8.3k 1.6× 856 0.6× 1.9k 2.0× 1.9k 2.0× 451 0.5× 124 13.3k
Ambrosius P. Snijders 7.5k 1.5× 1.1k 0.8× 1.2k 1.2× 965 1.0× 187 0.2× 151 10.3k
Robert G. Martin 5.9k 1.2× 614 0.4× 734 0.8× 411 0.4× 1.0k 1.2× 86 9.7k
Jérôme Garin 9.5k 1.9× 726 0.5× 1.6k 1.6× 1.7k 1.8× 266 0.3× 153 13.5k
Hsien‐Da Huang 8.6k 1.7× 766 0.5× 518 0.5× 1.3k 1.4× 112 0.1× 174 12.9k
Byung‐Ha Oh 4.3k 0.8× 1.1k 0.8× 759 0.8× 1.3k 1.4× 478 0.5× 98 7.1k

Countries citing papers authored by Lisa N. Kinch

Since Specialization
Citations

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

Fields of papers citing papers by Lisa N. Kinch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa N. Kinch. 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 Lisa N. Kinch. The network helps show where Lisa N. Kinch may publish in the future.

Co-authorship network of co-authors of Lisa N. Kinch

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa N. Kinch. A scholar is included among the top collaborators of Lisa N. Kinch 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 Lisa N. Kinch. Lisa N. Kinch 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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