Lydia Tesfa
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 3
- Viral gastroenteritis research and epidemiology 2
-
- Immune cells in cancer 2
- Co-authors
- E. Richard Stanley (2 shared papers)Tushar Damodar Bhagat (1 shared paper)Xingyi Guo (1 shared paper)Deyou Zheng (1 shared paper)Amit K. Verma (1 shared paper)Cristina I. Caescu (1 shared paper)Deepa Rastogi (1 shared paper)Florian Kern (4 shared papers)
- Journals
- Cytometry Part A (3 papers)PLoS ONE (3 papers)Infection and Immunity (2 papers)Epigenetics (1 paper)Journal of Leukocyte Biology (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Lydia Tesfa
22 papers receiving 999 citations
Peers
Comparison fields: 5 of 92
- Immunology 354
- Infectious Diseases 157
- Biotechnology 73
- Epidemiology 214
- Physiology 136
Countries citing papers authored by Lydia Tesfa
This map shows the geographic impact of Lydia Tesfa'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 Lydia Tesfa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lydia Tesfa more than expected).
Fields of papers citing papers by Lydia Tesfa
This network shows the impact of papers produced by Lydia Tesfa. 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 Lydia Tesfa. The network helps show where Lydia Tesfa may publish in the future.
Co-authors
The 25 scholars most cited alongside Lydia Tesfa, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 176 | |
| 2 | 2015 | 135 | |
| 3 | 2013 | 130 | |
| 4 | 2015 | 126 | |
| 5 | 2007 | 75 | |
| 6 | 2022 | 73 | |
| 7 | 2020 | 44 | |
| 8 | 2014 | 43 | |
| 9 | 2004 | 33 | |
| 10 | 2013 | 31 | |
| 11 | 2005 | 27 | |
| 12 | 2012 | 20 | |
| 13 | 2012 | 18 | |
| 14 | 2011 | 15 | |
| 15 | 2020 | 13 | |
| 16 | 2021 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 1993 | 10 | |
| 19 | 2007 | 8 | |
| 20 | 2003 | 8 |
About Lydia Tesfa
Lydia Tesfa is a scholar working on Infectious Diseases, Immunology, Epidemiology, Neurology and Genetics, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Virus-based gene therapy research (3 papers), Viral gastroenteritis research and epidemiology (2 papers), CRISPR and Genetic Engineering (2 papers), Cancer Research and Treatments (2 papers), Mycobacterium research and diagnosis (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (354 citations), Infectious Diseases (157 citations), Biotechnology (73 citations), Epidemiology (214 citations) and Physiology (136 citations). Lydia Tesfa has collaborated with scholars based in United States, Germany and France. Frequent co-authors include E. Richard Stanley, Tushar Damodar Bhagat, Xingyi Guo, Deyou Zheng, Amit K. Verma, Cristina I. Caescu, Deepa Rastogi, Florian Kern, Yu Lin and Kathryn E. Tanaka. Their work appears in journals such as Cytometry Part A, PLoS ONE, Infection and Immunity, Epigenetics and Journal of Leukocyte 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.