Daniel Kalman
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Aging top 2%
Papers in
-
- Gut microbiota and health 10
- Ion channel regulation and function 6
-
- Escherichia coli research studies 17
- Co-authors
- Melanie A. Sherman (12 shared papers)Domonica N. Powell (4 shared papers)Christopher Capaldo (3 shared papers)Alyson Swimm (15 shared papers)Bettina Bommarius (8 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)Blood (6 papers)Proceedings of the National Academy of Sciences (6 papers)PLoS Pathogens (6 papers)Cell Host & Microbe (5 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Daniel Kalman
78 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 142
- Endocrinology 590
- Aging 139
- Biological Psychiatry 150
- Virology 244
- Infectious Diseases 837
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 | 375 | |
| 2 | 2017 | 289 | |
| 3 | 1998 | 279 | |
| 4 | 2003 | 241 | |
| 5 | 2005 | 179 | |
| 6 | 1999 | 179 | |
| 7 | 2011 | 157 | |
| 8 | 2007 | 151 | |
| 9 | 2017 | 148 | |
| 10 | 2017 | 138 | |
| 11 | 2005 | 130 | |
| 12 | 2010 | 127 | |
| 13 | 2018 | 123 | |
| 14 | 2017 | 122 | |
| 15 | 2008 | 121 | |
| 16 | 2020 | 117 | |
| 17 | 1990 | 112 | |
| 18 | 2021 | 107 | |
| 19 | 2012 | 101 | |
| 20 | 2004 | 97 |
About Daniel Kalman
Daniel Kalman is a scholar working on Molecular Biology, Endocrinology, Infectious Diseases, Genetics and Immunology, having authored 80 papers that have together received 5.3k indexed citations. Recurring topics across this work include Escherichia coli research studies (17 papers), Gut microbiota and health (10 papers), Viral gastroenteritis research and epidemiology (10 papers), Virus-based gene therapy research (8 papers), Chronic Myeloid Leukemia Treatments (7 papers), Poxvirus research and outbreaks (7 papers), Ion channel regulation and function (6 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Endocrinology (590 citations), Aging (139 citations), Biological Psychiatry (150 citations), Virology (244 citations) and Infectious Diseases (837 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 Swimm, Bettina Bommarius, William G. Bornmann, Sarah L. Lebeis, Kimberly R. Powell, Guy M. Benian and Akwasi Anyanful. Their work appears in journals such as Infection and Immunity, Blood, Proceedings of the National Academy of Sciences, PLoS Pathogens and Cell Host & Microbe.
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.