Daniel Kaul
- Transplantation top 1%
- Infectious Diseases top 2%
- Epidemiology top 2%
- Cytomegalovirus and herpesvirus research 20
- Pneumocystis jirovecii pneumonia detection and treatment 11
- Herpesvirus Infections and Treatments 9
- Mycobacterium research and diagnosis 9
- Hepatology top 5%
- Oncology top 5%
- Polyomavirus and related diseases 7
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- Transplantation: Methods and Outcomes 6
- Infectious Diseases and Tuberculosis 6
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- Hematological disorders and diagnostics 6
- Co-authors
- Michael G. IsonSanjay SaintPowel KazanjianCameron R. WolfePreeti MalaniChristopher J. SonnendayRobert KrellAndrew R. Martin
- Journals
- New England Journal of Medicine (13 papers)American Journal of Transplantation (10 papers)Clinical Infectious Diseases (5 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Daniel Kaul
86 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 125
- Transplantation 248
- Infectious Diseases 835
- Epidemiology 1.4k
- Hepatology 204
- Oncology 574
Countries citing papers authored by Daniel Kaul
This map shows the geographic impact of Daniel Kaul'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 Daniel Kaul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kaul more than expected).
Fields of papers citing papers by Daniel Kaul
This network shows the impact of papers produced by Daniel Kaul. 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 Daniel Kaul. The network helps show where Daniel Kaul may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Kaul, 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 | 2024 | 0 | |
| 2 | 2023 | 17 | |
| 3 | 2023 | 15 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 7 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 80 | |
| 10 | 2020 | 0 | |
| 11 | 2017 | 1 | |
| 12 | 2013 | 7 | |
| 13 | 2011 | 1 | |
| 14 | 2010 | 2 | |
| 15 | 2009 | 21 | |
| 16 | 2009 | 35 | |
| 17 | 2008 | 4 | |
| 18 | 2007 | 83 | |
| 19 | 2006 | 9 | |
| 20 | 1999 | 45 |
About Daniel Kaul
Daniel Kaul is a scholar working on Infectious Diseases, Transplantation, Epidemiology, Microbiology and Parasitology, having authored 89 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (20 papers), Pneumocystis jirovecii pneumonia detection and treatment (11 papers), Herpesvirus Infections and Treatments (9 papers), Mycobacterium research and diagnosis (9 papers), Polyomavirus and related diseases (7 papers), Transplantation: Methods and Outcomes (6 papers), Infectious Diseases and Tuberculosis (6 papers) and Hematological disorders and diagnostics (6 papers). The work is most often cited by research in Transplantation (248 citations), Infectious Diseases (835 citations), Epidemiology (1.4k citations), Hepatology (204 citations) and Oncology (574 citations). Daniel Kaul has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Michael G. Ison, Sanjay Saint, Powel Kazanjian, Cameron R. Wolfe, Preeti Malani, Christopher J. Sonnenday, Robert Krell, Andrew R. Martin, Michael J. Englesbe and Shijie Cai. Their work appears in journals such as New England Journal of Medicine, American Journal of Transplantation, Clinical Infectious Diseases, Open Forum Infectious Diseases and Transplantation.
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.