Lisa Tucker‐Kellogg

129 total papers · 1.9k total citations
59 papers, 1.3k citations indexed

About

Lisa Tucker‐Kellogg is a scholar working on Molecular Biology, Cell Biology and Hepatology. According to data from OpenAlex, Lisa Tucker‐Kellogg has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 9 papers in Cell Biology and 9 papers in Hepatology. Recurrent topics in Lisa Tucker‐Kellogg's work include Gene Regulatory Network Analysis (9 papers), Liver physiology and pathology (8 papers) and Computational Drug Discovery Methods (7 papers). Lisa Tucker‐Kellogg is often cited by papers focused on Gene Regulatory Network Analysis (9 papers), Liver physiology and pathology (8 papers) and Computational Drug Discovery Methods (7 papers). Lisa Tucker‐Kellogg collaborates with scholars based in Singapore, United States and China. Lisa Tucker‐Kellogg's co-authors include Peter W. Shor, Bonnie Berger, Jonathan King, Bruce Tidor, Lakshmi Venkatraman, Tomás Lozano‐Pérez, Christopher P. Jaroniec, Bernd Reif, Michael T. McMahon and Robert G. Griffin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Lisa Tucker‐Kellogg

59 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Lisa Tucker‐Kellogg 539 204 151 138 108 59 1.3k
Henryk Mach 1.0k 1.9× 75 0.4× 123 0.8× 158 1.1× 56 0.5× 34 1.4k
Leslie A. Holladay 960 1.8× 144 0.7× 177 1.2× 146 1.1× 26 0.2× 48 1.4k
Rajiv Nayar 1.0k 1.9× 96 0.5× 96 0.6× 64 0.5× 22 0.2× 42 1.6k
Lin Li 995 1.8× 118 0.6× 214 1.4× 113 0.8× 153 1.4× 66 1.8k
Chetan N. Patel 860 1.6× 59 0.3× 203 1.3× 158 1.1× 40 0.4× 36 1.5k
Christine M. Jones 568 1.1× 80 0.4× 32 0.2× 81 0.6× 22 0.2× 70 1.6k
Hiroko Shibata 734 1.4× 29 0.1× 78 0.5× 121 0.9× 25 0.2× 84 1.4k
Hariprasad Venugopal 850 1.6× 40 0.2× 101 0.7× 45 0.3× 137 1.3× 58 1.4k
Mari Shimura 1.0k 1.9× 28 0.1× 42 0.3× 150 1.1× 27 0.3× 70 1.8k
Aaron P. Yamniuk 643 1.2× 67 0.3× 85 0.6× 98 0.7× 13 0.1× 40 1.1k

Countries citing papers authored by Lisa Tucker‐Kellogg

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Tucker‐Kellogg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa Tucker‐Kellogg. 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 Tucker‐Kellogg. The network helps show where Lisa Tucker‐Kellogg may publish in the future.

Co-authorship network of co-authors of Lisa Tucker‐Kellogg

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Tucker‐Kellogg. A scholar is included among the top collaborators of Lisa Tucker‐Kellogg 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 Tucker‐Kellogg. Lisa Tucker‐Kellogg 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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2026