Elsa M. Laughlin

1.2k citations
10 papers · 1.0k · h-index 10

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3
    • Diabetes and associated disorders 4

Elsa M. Laughlin

10 papers receiving 1.0k citations

Peers

Elsa M. Laughlin
Comparison fields: 5 of 71
  • Immunology 409
  • Transplantation 44
  • Infectious Diseases 242
  • Genetics 253
  • Endocrinology, Diabetes and Metabolism 141
Replace Lasse Eggers Pedersen with:
Lasse Eggers Pedersen Denmark
Vicki M. Fleming United Kingdom
David E. Justus United States
L. Pirofski United States
Efrosinia O. Krejany Australia
Maria Angela Biasolo Italy
Mike Smith United States
Shuying Sue Li United States
M. E. Lamm United States
Saheli Sadanand United States
Elsa M. Laughlin relative to Lasse Eggers Pedersen Denmark Lasse Eggers Pedersen's profile →
Citations per field
00.5×2×4×6×7.3×
Lasse Eggers Pedersen · 1×
Citations per year

Countries citing papers authored by Elsa M. Laughlin

Since Specialization
Citations

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

Fields of papers citing papers by Elsa M. Laughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elsa M. Laughlin. 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 Elsa M. Laughlin. The network helps show where Elsa M. Laughlin may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2011280
2 2010174
3 2008152
4 2011134
5 200494
6 200863
7 201059
8 200438
9 200723
10 201116

About Elsa M. Laughlin

Elsa M. Laughlin is a scholar working on Immunology, Genetics, Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Diabetes and associated disorders (4 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Mycobacterium research and diagnosis (2 papers), vaccines and immunoinformatics approaches (2 papers), Tuberculosis Research and Epidemiology (2 papers), Trypanosoma species research and implications (2 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Immunology (409 citations), Transplantation (44 citations), Infectious Diseases (242 citations), Genetics (253 citations) and Endocrinology, Diabetes and Metabolism (141 citations). Elsa M. Laughlin has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Steven G. Reed, Rhea N. Coler, Sylvie Bertholet, Thomas S. Vedvick, Susan L. Baldwin, Gerald T. Nepom, Ben A. Falk, Christopher B. Fox, Hillarie Plessner Windish and Jeff A. Guderian. Their work appears in journals such as Diabetes, Vaccine, Clinical Immunology, Infection and Immunity and The Journal of Immunology.

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.

Explore authors with similar magnitude of impact