Elsa M. Laughlin
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
-
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 2
-
- Mycobacterium research and diagnosis 2
- Co-authors
- Steven G. Reed (5 shared papers)Rhea N. Coler (5 shared papers)Sylvie Bertholet (4 shared papers)Susan L. Baldwin (2 shared papers)Thomas S. Vedvick (2 shared papers)Gerald T. Nepom (4 shared papers)Ben Falk (2 shared papers)Jeff Guderian (1 shared paper)
- Journals
- Diabetes (2 papers)Vaccine (2 papers)The Journal of Immunology (1 paper)Clinical and Vaccine Immunology (1 paper)Clinical Immunology (1 paper)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Elsa M. Laughlin
9 papers receiving 764 citations
Peers
Comparison fields: 5 of 66
- Immunology 374
- Infectious Diseases 232
- Epidemiology 275
- Public Health, Environmental and Occupational Health 187
- Virology 27
Countries citing papers authored by Elsa M. Laughlin
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 250 | |
| 2 | 2008 | 141 | |
| 3 | 2011 | 120 | |
| 4 | 2004 | 88 | |
| 5 | 2008 | 59 | |
| 6 | 2010 | 48 | |
| 7 | 2004 | 35 | |
| 8 | 2007 | 21 | |
| 9 | 2011 | 15 |
About Elsa M. Laughlin
Elsa M. Laughlin is a scholar working on Immunology, Epidemiology, Genetics, Infectious Diseases and Molecular Biology, having authored 9 papers that have together received 777 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Diabetes and associated disorders (3 papers), Research on Leishmaniasis Studies (2 papers), Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers), vaccines and immunoinformatics approaches (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (374 citations), Infectious Diseases (232 citations), Epidemiology (275 citations), Public Health, Environmental and Occupational Health (187 citations) and Virology (27 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, Susan L. Baldwin, Thomas S. Vedvick, Gerald T. Nepom, Ben Falk, Jeff Guderian, Magdalini Moutaftsi and Martin Friede. Their work appears in journals such as Diabetes, Vaccine, The Journal of Immunology, Clinical and Vaccine Immunology and Clinical 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.