Lana Schaffer

2.1k citations
43 papers · 1.7k · h-index 23

Impact in

  • Virology top 5%
    • Poxvirus research and outbreaks
  • Immunology top 5%
    • Galectins and Cancer Biology
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Glycosylation and Glycoproteins Research 12
    • CRISPR and Genetic Engineering 3
    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 4
    • Galectins and Cancer Biology 3

Lana Schaffer

43 papers receiving 1.7k citations

Peers

Lana Schaffer
Comparison fields: 5 of 110
  • Virology 148
  • Immunology 429
  • Molecular Biology 1.1k
  • Cell Biology 162
  • Cancer Research 140
Replace Yoshio Yamakawa with:
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Paul J. Beresford United States
Kyoko Yokota Japan
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Lana Schaffer relative to Yoshio Yamakawa Japan Yoshio Yamakawa's profile →
Citations per field
00.5×3.4×
Yoshio Yamakawa · 1×
Citations per year

Countries citing papers authored by Lana Schaffer

Since Specialization
Citations

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

Fields of papers citing papers by Lana Schaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lana Schaffer, 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 Lana Schaffer Line = papers co-authored together Lana Schaffer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015209
2 2011156
3 2008144
4 200993
5 201283
6 200866
7 201063
8 200758
9 199858
10 200956
11 201152
12 201151
13 201049
14 201147
15 201145
16 201045
17 200842
18 200937
19 200737
20 201127

About Lana Schaffer

Lana Schaffer is a scholar working on Molecular Biology, Immunology, Cell Biology, Virology and Epidemiology, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (12 papers), Proteoglycans and glycosaminoglycans research (9 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), HIV Research and Treatment (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Galectins and Cancer Biology (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Virology (148 citations), Immunology (429 citations), Molecular Biology (1.1k citations), Cell Biology (162 citations) and Cancer Research (140 citations). Lana Schaffer has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Steven R. Head, Gennady M. Verkhivker, Suzanne L. Papp, Ann J. Feeney, Jennifer Hammond, David Bramhill, José Luís Corchero, Thomas A. Kohl, Timothy C. Meredith and Uwe Mamat. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE, Proteins Structure Function and Bioinformatics, Journal of Biological Chemistry and The FASEB Journal.

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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