Daniel Kalman
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Aging top 2%
Papers in
-
- Escherichia coli research studies 18
-
- Viral gastroenteritis research and epidemiology 9
- Co-authors
- Melanie A. Sherman (13 shared papers)Domonica N. Powell (4 shared papers)Christopher Capaldo (3 shared papers)Alyson I. Swimm (16 shared papers)Bettina Bommarius (9 shared papers)William G. Bornmann (10 shared papers)Sarah L. Lebeis (4 shared papers)Kimberly R. Powell (7 shared papers)
- Journals
- Infection and Immunity (7 papers)Proceedings of the National Academy of Sciences (6 papers)Blood (5 papers)Cell Host & Microbe (5 papers)PLoS Pathogens (5 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Daniel Kalman
79 papers receiving 5.7k citations
Daniel Kalman's Hit Papers
Peers
Comparison fields: 5 of 150
- Endocrinology 638
- Aging 145
- Biological Psychiatry 159
- Virology 269
- Infectious Diseases 1.0k
Countries citing papers authored by Daniel Kalman
This map shows the geographic impact of Daniel Kalman'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 Kalman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kalman more than expected).
Fields of papers citing papers by Daniel Kalman
This network shows the impact of papers produced by Daniel Kalman. 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 Kalman. The network helps show where Daniel Kalman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Kalman, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 383 | |
| 2 | 2017 | 310 | |
| 3 | 1998 | 286 | |
| 4 | 2003 | 248 | |
| 5 | 2005 | 194 | |
| 6 | The immunoregulatory landscape of human tuberculosis granulomas Hit paper breakdown → | 2022 | 189 |
| 7 | 1999 | 185 | |
| 8 | 2011 | 174 | |
| 9 | 2017 | 160 | |
| 10 | 2007 | 155 | |
| 11 | 2017 | 155 | |
| 12 | 2018 | 140 | |
| 13 | 2005 | 139 | |
| 14 | 2010 | 139 | |
| 15 | 2020 | 130 | |
| 16 | 2017 | 127 | |
| 17 | 2008 | 126 | |
| 18 | 1990 | 115 | |
| 19 | 2021 | 112 | |
| 20 | 2012 | 109 |
About Daniel Kalman
Daniel Kalman is a scholar working on Endocrinology, Infectious Diseases, Hematology, Virology and Genetics, having authored 80 papers that have together received 5.8k indexed citations. Recurring topics across this work include Escherichia coli research studies (18 papers), Gut microbiota and health (10 papers), Viral gastroenteritis research and epidemiology (9 papers), Ion channel regulation and function (8 papers), Virus-based gene therapy research (8 papers), Poxvirus research and outbreaks (7 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Endocrinology (638 citations), Aging (145 citations), Biological Psychiatry (159 citations), Virology (269 citations) and Infectious Diseases (1.0k citations). Daniel Kalman has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Melanie A. Sherman, Domonica N. Powell, Christopher Capaldo, Alyson I. Swimm, Bettina Bommarius, William G. Bornmann, Sarah L. Lebeis, Kimberly R. Powell, Guy M. Benian and Patrick M. Reeves. Their work appears in journals such as Infection and Immunity, Proceedings of the National Academy of Sciences, Blood, Cell Host & Microbe and PLoS Pathogens.
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.