Laura Geffner
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Immunodeficiency and Autoimmune Disorders
- Immunotherapy and Immune Responses
Papers in
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- Immune Cell Function and Interaction 6
- Immune Response and Inflammation 4
- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 1
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- Tuberculosis Research and Epidemiology 5
- Co-authors
- Silvia de la Barrera (11 shared papers)María C. Sasiain (8 shared papers)Noemí Yokobori (10 shared papers)Mercedes Alemán (7 shared papers)Juan I. Basile (7 shared papers)Pablo Schierloh (8 shared papers)Eduardo Abbate (6 shared papers)Luciana Balboa (6 shared papers)
In The Last Decade
Laura Geffner
13 papers receiving 395 citations
Peers
Comparison fields: 5 of 48
- Infectious Diseases 240
- Immunology 216
- Epidemiology 165
- Virology 14
- Molecular Medicine 9
Countries citing papers authored by Laura Geffner
This map shows the geographic impact of Laura Geffner'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 Laura Geffner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Geffner more than expected).
Fields of papers citing papers by Laura Geffner
This network shows the impact of papers produced by Laura Geffner. 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 Laura Geffner. The network helps show where Laura Geffner may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Geffner, 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 | 87 | |
| 2 | 2009 | 66 | |
| 3 | 2007 | 53 | |
| 4 | 2011 | 52 | |
| 5 | 2010 | 42 | |
| 6 | 2013 | 30 | |
| 7 | 2009 | 21 | |
| 8 | 2014 | 14 | |
| 9 | 2009 | 12 | |
| 10 | 2013 | 10 | |
| 11 | 2012 | 7 | |
| 12 | 2012 | 3 | |
| 13 | 2019 | 1 |
About Laura Geffner
Laura Geffner is a scholar working on Immunology, Infectious Diseases, Epidemiology, Pulmonary and Respiratory Medicine and Surgery, having authored 13 papers that have together received 398 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (4 papers), Immune Response and Inflammation (4 papers), T-cell and B-cell Immunology (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Pleural and Pulmonary Diseases (2 papers) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Infectious Diseases (240 citations), Immunology (216 citations), Epidemiology (165 citations), Virology (14 citations) and Molecular Medicine (9 citations). Laura Geffner has collaborated with scholars based in Argentina and Japan. Frequent co-authors include Silvia de la Barrera, María C. Sasiain, Noemí Yokobori, Mercedes Alemán, Juan I. Basile, Pablo Schierloh, Eduardo Abbate, Luciana Balboa, María Mercedes Romero and Rosa Musella. Their work appears in journals such as Infection and Immunity, Clinical & Experimental Immunology, European Journal of Immunology, Journal of Leukocyte Biology and Immunology and Cell Biology.
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.