Daniel Mar
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
Papers in
-
- Epigenetics and DNA Methylation 8
- Cancer-related gene regulation 4
- RNA modifications and cancer 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Karol Bomsztyk (17 shared papers)Oleg N. Denisenko (11 shared papers)Sina A. Gharib (3 shared papers)Charles E. Alpers (1 shared paper)Rama D Natarajan (1 shared paper)Hang Yuan (1 shared paper)Mei Wang (1 shared paper)Sumanth Putta (1 shared paper)
- Journals
- Laboratory Investigation (3 papers)Nature Communications (2 papers)Kidney International (2 papers)Journal of Inflammation Research (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesPolandEstonia
In The Last Decade
Daniel Mar
18 papers receiving 547 citations
Peers
Comparison fields: 5 of 68
- Nephrology 97
- Clinical Biochemistry 30
- Transplantation 11
- Endocrinology, Diabetes and Metabolism 63
- Molecular Biology 275
Countries citing papers authored by Daniel Mar
This map shows the geographic impact of Daniel Mar'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 Mar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mar more than expected).
Fields of papers citing papers by Daniel Mar
This network shows the impact of papers produced by Daniel Mar. 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 Mar. The network helps show where Daniel Mar may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Mar, 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 | 2013 | 121 | |
| 2 | 2019 | 91 | |
| 3 | 2013 | 60 | |
| 4 | 2013 | 47 | |
| 5 | 2015 | 46 | |
| 6 | 2015 | 43 | |
| 7 | 2016 | 31 | |
| 8 | 2021 | 19 | |
| 9 | 2013 | 19 | |
| 10 | 2019 | 15 | |
| 11 | 2022 | 15 | |
| 12 | 2024 | 10 | |
| 13 | 2015 | 10 | |
| 14 | 2018 | 9 | |
| 15 | 2023 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2025 | 2 |
About Daniel Mar
Daniel Mar is a scholar working on Molecular Biology, Cancer Research, Clinical Biochemistry, Obstetrics and Gynecology and Immunology, having authored 18 papers that have together received 552 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Cancer-related gene regulation (4 papers), Pregnancy and preeclampsia studies (2 papers), RNA modifications and cancer (2 papers), Advanced Glycation End Products research (2 papers), Cleft Lip and Palate Research (2 papers), Genomics and Chromatin Dynamics (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Nephrology (97 citations), Clinical Biochemistry (30 citations), Transplantation (11 citations), Endocrinology, Diabetes and Metabolism (63 citations) and Molecular Biology (275 citations). Daniel Mar has collaborated with scholars based in United States, Poland and Estonia. Frequent co-authors include Karol Bomsztyk, Oleg N. Denisenko, Sina A. Gharib, Charles E. Alpers, Rama D Natarajan, Hang Yuan, Mei Wang, Sumanth Putta, Marpadga A. Reddy and Linda L. Lanting. Their work appears in journals such as Laboratory Investigation, Nature Communications, Kidney International, Journal of Inflammation Research and Nucleic Acids Research.
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.