Linda Eissenberg
Impact in
- Microbiology top 2%
- Reproductive tract infections research
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
Papers in
- Epidemiology 11
- Fungal Infections and Studies 9
- Oncology 9
- CAR-T cell therapy research 6
- Co-authors
- William E. Goldman (11 shared papers)Chad A. Rappleye (1 shared paper)Paul H. Schlesinger (2 shared papers)P B Wyrick (2 shared papers)Carolyn H. Davis (1 shared paper)John F. DiPersio (12 shared papers)Michael P. Rettig (8 shared papers)Geoffrey L. Uy (5 shared papers)
- Journals
- Blood (9 papers)Infection and Immunity (5 papers)Clinical Microbiology Reviews (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Linda Eissenberg
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Microbiology 171
- Infectious Diseases 465
- Epidemiology 624
- Parasitology 107
- Immunology 227
Countries citing papers authored by Linda Eissenberg
This map shows the geographic impact of Linda Eissenberg'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 Linda Eissenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Eissenberg more than expected).
Fields of papers citing papers by Linda Eissenberg
This network shows the impact of papers produced by Linda Eissenberg. 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 Linda Eissenberg. The network helps show where Linda Eissenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Linda Eissenberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 323 | |
| 2 | 1993 | 154 | |
| 3 | 2015 | 141 | |
| 4 | 1991 | 85 | |
| 5 | 1983 | 83 | |
| 6 | 1981 | 67 | |
| 7 | 1988 | 64 | |
| 8 | 2000 | 64 | |
| 9 | 1987 | 64 | |
| 10 | 1991 | 36 | |
| 11 | 2016 | 32 | |
| 12 | 1996 | 20 | |
| 13 | 2016 | 19 | |
| 14 | 2013 | 16 | |
| 15 | 2015 | 16 | |
| 16 | 2014 | 11 | |
| 17 | 1988 | 11 | |
| 18 | 1997 | 10 | |
| 19 | 1991 | 8 | |
| 20 | 2018 | 5 |
About Linda Eissenberg
Linda Eissenberg is a scholar working on Epidemiology, Oncology, Infectious Diseases, Immunology and Molecular Biology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fungal Infections and Studies (9 papers), Antifungal resistance and susceptibility (6 papers), CAR-T cell therapy research (6 papers), Acute Myeloid Leukemia Research (4 papers), Immunotherapy and Immune Responses (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Phytoplasmas and Hemiptera pathogens (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Microbiology (171 citations), Infectious Diseases (465 citations), Epidemiology (624 citations), Parasitology (107 citations) and Immunology (227 citations). Linda Eissenberg has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include William E. Goldman, Chad A. Rappleye, Paul H. Schlesinger, P B Wyrick, Carolyn H. Davis, John F. DiPersio, Michael P. Rettig, Geoffrey L. Uy, Julie Ritchey and Lynne Collins. Their work appears in journals such as Blood, Infection and Immunity, Clinical Microbiology Reviews, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.