Sarah J. Campbell
- Genetics top 2%
- Physiology top 5%
- Adenosine and Purinergic Signaling 2
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 5
- Immunology top 10%
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- Mycobacterium research and diagnosis 4
- Herpesvirus Infections and Treatments 2
- Cytomegalovirus and herpesvirus research 2
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- Antibiotic Resistance in Bacteria 2
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- Adolescent and Pediatric Healthcare 2
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- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Pardis C. SabetiStacey GabrielDavid AltshulerEric S. LanderGavin J. McDonaldJohn M. HigginsS. F. SchaffnerDominic Kwiatkowski
- Journals
- American Journal of Respiratory and Critical Care Medicine (2 papers)The Journal of Infectious Diseases (2 papers)Neurobiology of Disease (1 paper)
- Partner nations
- United KingdomUnited StatesGambia
In The Last Decade
Sarah J. Campbell
16 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Genetics 1.1k
- Physiology 89
- Infectious Diseases 341
- Immunology 296
- Biological Psychiatry 27
Countries citing papers authored by Sarah J. Campbell
This map shows the geographic impact of Sarah J. Campbell'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 Sarah J. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah J. Campbell more than expected).
Fields of papers citing papers by Sarah J. Campbell
This network shows the impact of papers produced by Sarah J. Campbell. 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 Sarah J. Campbell. The network helps show where Sarah J. Campbell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sarah J. Campbell, 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 | 2018 | 1 | |
| 2 | 2009 | 7 | |
| 3 | 2008 | 29 | |
| 4 | 2008 | 61 | |
| 5 | 2008 | 8 | |
| 6 | 2008 | 55 | |
| 7 | 2008 | 4 | |
| 8 | 2006 | 98 | |
| 9 | 2006 | 38 | |
| 10 | 2006 | 87 | |
| 11 | 2004 | 112 | |
| 12 | 2003 | 13 | |
| 13 | 2003 | 55 | |
| 14 | 2002 | 114 | |
| 15 | Detecting recent positive selection in the human genome from haplotype structurebreakdown → | 2002 | 1449 |
| 16 | 2002 | 20 |
About Sarah J. Campbell
Sarah J. Campbell is a scholar working on Physiology, Molecular Medicine and Biological Psychiatry, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (4 papers), Antibiotic Resistance in Bacteria (2 papers), Adolescent and Pediatric Healthcare (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Adenosine and Purinergic Signaling (2 papers), Herpesvirus Infections and Treatments (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Genetics (1.1k citations), Physiology (89 citations) and Infectious Diseases (341 citations). Sarah J. Campbell has collaborated with scholars based in United Kingdom, United States and Gambia. Frequent co-authors include Pardis C. Sabeti, Stacey Gabriel, David Altshuler, Eric S. Lander, Gavin J. McDonald, John M. Higgins, S. F. Schaffner, Dominic Kwiatkowski, Jill Platko and Daniel J. Richter. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, The Journal of Infectious Diseases, Neurobiology of Disease, Journal of Photochemistry and Photobiology B Biology and FEBS Letters.
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.