Lisa Yan

1.7k citations
26 papers · 1.3k · 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 110
  • Molecular Biology 761
  • Computational Theory and Mathematics 158
  • Immunology 122
  • Toxicology 20
  • Radiology, Nuclear Medicine and Imaging 107
Replace Rao Sethumadhavan with:
Rao Sethumadhavan India
Rodrigo V. Honorato Brazil
Angela N. Migues United States
Somesh Sharma India
Lauren Raguette United States
Nidhi Singh India
Walter H.J. Ward United Kingdom
Hans De Winter Belgium
Jamie S. Simpson Australia
Miriam Sgobba Italy
Lisa Yan relative to Rao Sethumadhavan India Rao Sethumadhavan's profile →
Citations per field
00.5×1.5×1.8×
Rao Sethumadhavan · 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

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008147
2 2013141
3 2002137
4 2008124
5 2008104
6 201797
7 200788
8 200173
9 201369
10 200361
11 201431
12 201430
13 200025
14 200324
15 200623
16 201620
17 201418
18 200318
19 201613
20 199912

About Lisa Yan

Lisa Yan is a scholar working on Molecular Biology, Spectroscopy, Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Immunology, having authored 26 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), Advanced Chemical Physics Studies (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Molecular Biology (761 citations), Computational Theory and Mathematics (158 citations), Immunology (122 citations), Toxicology (20 citations) and Radiology, Nuclear Medicine and Imaging (107 citations). Lisa Yan has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Velin Z. Spassov, P.K. Flook, Sándor Szalma, Marc Fasnacht, W. Martin Kast, Andrew W. Woodham, Joseph G. Skeate, Jürgen Koska, C. M. Venkatachalam and Allister J. Maynard. Their work appears in journals such as Journal of Computational Chemistry, Protein Science, Proteins Structure Function and Bioinformatics, The Prostate and The Journal of Physical Chemistry B.

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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