Daniel Mar
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Epigenetics and DNA Methylation 9
- Cancer-related gene regulation 4
- RNA modifications and cancer 3
- Genomics and Chromatin Dynamics 2
-
- Immune Response and Inflammation 4
- Co-authors
- Karol Bomsztyk (17 shared papers)Oleg Denisenko (11 shared papers)Rama Natarajan (1 shared paper)Sina A. Gharib (3 shared papers)Sumanth Putta (1 shared paper)Linda Lanting (1 shared paper)Charles E. Alpers (1 shared paper)Mei Wang (1 shared paper)
- Journals
- Laboratory Investigation (3 papers)Kidney International (2 papers)BMC Genomics (1 paper)Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (1 paper)Critical Care (1 paper)
- Partner nations
- United StatesPolandSaudi Arabia
In The Last Decade
Daniel Mar
16 papers receiving 489 citations
Peers
Comparison fields: 5 of 70
- Nephrology 95
- Clinical Biochemistry 30
- Endocrinology, Diabetes and Metabolism 71
- Transplantation 11
- Molecular Biology 280
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 | 111 | |
| 2 | 2019 | 77 | |
| 3 | 2013 | 57 | |
| 4 | 2013 | 45 | |
| 5 | 2015 | 44 | |
| 6 | 2015 | 37 | |
| 7 | 2016 | 30 | |
| 8 | 2013 | 18 | |
| 9 | 2021 | 16 | |
| 10 | 2022 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2015 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2024 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2025 | 0 |
About Daniel Mar
Daniel Mar is a scholar working on Molecular Biology, Immunology, Epidemiology, Cancer Research and Clinical Biochemistry, having authored 17 papers that have together received 493 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Immune Response and Inflammation (4 papers), Cancer-related gene regulation (4 papers), RNA modifications and cancer (3 papers), Sepsis Diagnosis and Treatment (3 papers), Genomics and Chromatin Dynamics (2 papers), Advanced Glycation End Products research (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Nephrology (95 citations), Clinical Biochemistry (30 citations), Endocrinology, Diabetes and Metabolism (71 citations), Transplantation (11 citations) and Molecular Biology (280 citations). Daniel Mar has collaborated with scholars based in United States, Poland and Saudi Arabia. Frequent co-authors include Karol Bomsztyk, Oleg Denisenko, Rama Natarajan, Sina A. Gharib, Sumanth Putta, Linda Lanting, Charles E. Alpers, Mei Wang, Marpadga A. Reddy and Hang Yuan. Their work appears in journals such as Laboratory Investigation, Kidney International, BMC Genomics, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms and Critical Care.
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.