Lisa B. Willing

19 total papers · 556 total citations
16 papers, 460 citations indexed

About

Lisa B. Willing is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lisa B. Willing has authored 16 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 6 papers in Physiology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lisa B. Willing's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Diet and metabolism studies (3 papers) and Gastrointestinal motility and disorders (3 papers). Lisa B. Willing is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Diet and metabolism studies (3 papers) and Gastrointestinal motility and disorders (3 papers). Lisa B. Willing collaborates with scholars based in United States, France and India. Lisa B. Willing's co-authors include Ian A. Simpson, Susan J. Vannucci, Rashmi Kumari, J. Kyle Krady, Teresa L. Wood, Patricia D. Hurn, Robert M. Brucklacher, Shozo Goto, Nabil J. Alkayed and Karen A. Baskerville and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Lisa B. Willing

16 papers receiving 457 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 B. Willing 178 115 114 102 68 16 460
A. Cárdenas 206 1.2× 144 1.3× 65 0.6× 154 1.5× 106 1.6× 11 534
Bo‐Ran Choi 95 0.5× 174 1.5× 43 0.4× 168 1.6× 72 1.1× 16 474
Paolo Mascarucci 206 1.2× 120 1.0× 90 0.8× 73 0.7× 46 0.7× 9 435
Gwangho Yoon 139 0.8× 161 1.4× 54 0.5× 172 1.7× 60 0.9× 18 526
Alessandro Landolfi 99 0.6× 117 1.0× 75 0.7× 166 1.6× 26 0.4× 16 545
Nicolas Pelisch 99 0.6× 127 1.1× 32 0.3× 79 0.8× 59 0.9× 18 473
Yassemi Koutmani 52 0.3× 133 1.2× 96 0.8× 118 1.2× 39 0.6× 17 502
Abigail E. Salinero 188 1.1× 96 0.8× 53 0.5× 242 2.4× 37 0.5× 17 543
Yoshio Asano 104 0.6× 221 1.9× 42 0.4× 110 1.1× 57 0.8× 19 459
Jiasi Li 114 0.6× 144 1.3× 62 0.5× 36 0.4× 37 0.5× 26 505

Countries citing papers authored by Lisa B. Willing

Since Specialization
Citations

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

Fields of papers citing papers by Lisa B. Willing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa B. Willing

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