Daniel Barkan
Impact in
- Microbiology top 5%
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 18
- Epidemiology 23
- Mycobacterium research and diagnosis 21
- Co-authors
- Michael S. Glickman (7 shared papers)Stefan Rose‐John (1 shared paper)Galina Pizov (1 shared paper)Yael Nechemia‐Arbely (1 shared paper)Anat Shriki (1 shared paper)Jonathan H. Axelrod (1 shared paper)Eithan Galun (1 shared paper)Michal Meir (11 shared papers)
- Journals
- Microbiology Spectrum (4 papers)Frontiers in Immunology (2 papers)mSystems (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)BMC Microbiology (2 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Daniel Barkan
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 106
- Microbiology 30
- Infectious Diseases 408
- Nephrology 133
- Molecular Medicine 93
- Epidemiology 456
Countries citing papers authored by Daniel Barkan
This map shows the geographic impact of Daniel Barkan'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 Barkan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Barkan more than expected).
Fields of papers citing papers by Daniel Barkan
This network shows the impact of papers produced by Daniel Barkan. 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 Barkan. The network helps show where Daniel Barkan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Barkan, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 326 | |
| 2 | 2001 | 114 | |
| 3 | 2009 | 104 | |
| 4 | 2010 | 92 | |
| 5 | 2009 | 89 | |
| 6 | 2022 | 78 | |
| 7 | 2000 | 73 | |
| 8 | 2012 | 67 | |
| 9 | 1995 | 62 | |
| 10 | 2021 | 62 | |
| 11 | 2003 | 46 | |
| 12 | 2010 | 45 | |
| 13 | 2018 | 41 | |
| 14 | 2010 | 37 | |
| 15 | 2018 | 30 | |
| 16 | 2019 | 30 | |
| 17 | 2020 | 29 | |
| 18 | 1999 | 22 | |
| 19 | 2018 | 21 | |
| 20 | 2023 | 20 |
About Daniel Barkan
Daniel Barkan is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Small Animals and Molecular Medicine, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (21 papers), Tuberculosis Research and Epidemiology (18 papers), Infectious Diseases and Mycology (5 papers), Actinomycetales infections and treatment (4 papers), Bacteriophages and microbial interactions (4 papers), Antibiotic Resistance in Bacteria (4 papers), Quinazolinone synthesis and applications (4 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Microbiology (30 citations), Infectious Diseases (408 citations), Nephrology (133 citations), Molecular Medicine (93 citations) and Epidemiology (456 citations). Daniel Barkan has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Michael S. Glickman, Stefan Rose‐John, Galina Pizov, Yael Nechemia‐Arbely, Anat Shriki, Jonathan H. Axelrod, Eithan Galun, Michal Meir, Jacob Golenser and Zhen Liu. Their work appears in journals such as Microbiology Spectrum, Frontiers in Immunology, mSystems, Antimicrobial Agents and Chemotherapy and BMC Microbiology.
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.