Lisa Yan

1.7k citations
27 papers · 1.3k indexed · h-index 18

Impact in

Papers in

    • Protein Structure and Dynamics 10
    • RNA and protein synthesis mechanisms 4
    • Glycosylation and Glycoproteins Research 3

Lisa Yan

26 papers receiving 1.2k citations

Peers

Lisa Yan
Comparison fields: 5 of 113
  • Molecular Biology 787
  • Computational Theory and Mathematics 164
  • Immunology 137
  • Toxicology 22
  • Organic Chemistry 149
Replace Jeanne A. Hardy with:
Jeanne A. Hardy United States
Lauren Raguette United States
Eugene C. Petrella United States
René Coulombe Canada
Somesh Sharma India
Thomas Womack Netherlands
Francesc X. Ruiz United States
Hans De Winter Belgium
Ted Fox United States
Yaxue Zhao China
Lisa Yan relative to Jeanne A. Hardy United States Jeanne A. Hardy's profile →
Citations per field
00.5×1.5×
Jeanne A. Hardy · 1×
Citations per year

Countries citing papers authored by Lisa Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lisa Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lisa Yan Line = papers co-authored together Lisa Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 201788
3 201613
4 201620
5 20149
6 201431
7 201367
8 2013139
9 2008103
10 2008123
11 2008145
12 200787
13 200623
14 200411
15 200318
16 200324
17 200361
18 200173
19 199912
20 19897

About Lisa Yan

Lisa Yan is a scholar working on Spectroscopy, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Enzyme Structure and Function (5 papers), RNA and protein synthesis mechanisms (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cervical Cancer and HPV Research (3 papers), Immunotherapy and Immune Responses (3 papers) and Advanced Chemical Physics Studies (3 papers). The work is most often cited by research in Molecular Biology (787 citations), Computational Theory and Mathematics (164 citations), Immunology (137 citations), Toxicology (22 citations) and Organic Chemistry (149 citations). Lisa Yan has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Velin Z. Spassov, P.K. Flook, Sándor Szalma, Marc Fasnacht, W. Martin Kast, Diane M. Da Silva, Andrew W. Woodham, Joseph G. Skeate, Jürgen Koska and Adam B. Raff. Their work appears in journals such as Protein Science, Journal of Computational Chemistry, Proteins Structure Function and Bioinformatics, PLoS ONE and The Prostate.

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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