L Flaherty

1.5k citations
44 papers · 1.3k · h-index 20

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Monoclonal and Polyclonal Antibodies Research

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Virus-based gene therapy research 4
    • Genetic Mapping and Diversity in Plants and Animals 4

L Flaherty

44 papers receiving 1.2k citations

Peers

L Flaherty
Comparison fields: 5 of 88
  • Immunology 613
  • Radiology, Nuclear Medicine and Imaging 338
  • Immunology and Allergy 59
  • Molecular Biology 609
  • Developmental Neuroscience 36
Replace Eugenia Spanopoulou with:
Eugenia Spanopoulou United States
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C. M. Gomez United States
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Citations per field
00.5×1.6×
Eugenia Spanopoulou · 1×
Citations per year

Countries citing papers authored by L Flaherty

Since Specialization
Citations

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

Fields of papers citing papers by L Flaherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979155
2 1977124
3 2003123
4
Immunogenetics of the Q and TL regions of the mouse.
199087
5 197764
6 198462
7 199555
8 198045
9 198240
10 198137
11 199235
12 198534
13 199131
14 200629
15 197929
16 200128
17 198325
18 199722
19 197822
20 198221

About L Flaherty

L Flaherty is a scholar working on Molecular Biology, Genetics, Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Immunotherapy and Immune Responses (6 papers), Immune Response and Inflammation (5 papers), Cell Adhesion Molecules Research (4 papers), Virus-based gene therapy research (4 papers), T-cell and B-cell Immunology (4 papers), Glycosylation and Glycoproteins Research (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Immunology (613 citations), Radiology, Nuclear Medicine and Imaging (338 citations), Immunology and Allergy (59 citations), Molecular Biology (609 citations) and Developmental Neuroscience (36 citations). L Flaherty has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include G J Hämmerling, E S Vitetta, James Michaelson, Valerie J. Bolivar, M. D. Poulik, Eugene M. Rinchik, Susan O. Sharrow, Elizabeth C. Bryda, David H. Sachs and Eileen A. Elliott. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology, Genes Brain & Behavior, Proceedings of the National Academy of Sciences and Mammalian Genome.

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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