Daniel P. Heruth
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Physiology top 10%
- Adipose Tissue and Metabolism
- Calcium signaling and nucleotide metabolism
Papers in
-
- Protist diversity and phylogeny 4
- Oncology 11
- PARP inhibition in cancer therapy 5
- Co-authors
- Shui Qing Ye (19 shared papers)Li Qin Zhang (12 shared papers)Paul G. Rothberg (4 shared papers)Dmitry N. Grigoryev (8 shared papers)Li Q. Zhang (8 shared papers)J. F. N. Bradley (2 shared papers)Gerald Zirnstein (1 shared paper)Martin A. Gorovsky (3 shared papers)
- Journals
- Cell & Bioscience (4 papers)Scientific Reports (3 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)The FASEB Journal (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Daniel P. Heruth
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Geriatrics and Gerontology 93
- Physiology 40
- Molecular Biology 500
- Nephrology 42
- Genetics 62
Countries citing papers authored by Daniel P. Heruth
This map shows the geographic impact of Daniel P. Heruth'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 P. Heruth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Heruth more than expected).
Fields of papers citing papers by Daniel P. Heruth
This network shows the impact of papers produced by Daniel P. Heruth. 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 P. Heruth. The network helps show where Daniel P. Heruth may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel P. Heruth, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 99 | |
| 2 | 1993 | 80 | |
| 3 | 2017 | 57 | |
| 4 | 2017 | 54 | |
| 5 | 2015 | 43 | |
| 6 | 2012 | 42 | |
| 7 | 1992 | 41 | |
| 8 | 2015 | 39 | |
| 9 | 2012 | 38 | |
| 10 | 2010 | 35 | |
| 11 | 2015 | 35 | |
| 12 | 1994 | 34 | |
| 13 | 2017 | 33 | |
| 14 | 2017 | 29 | |
| 15 | 1997 | 28 | |
| 16 | 1994 | 27 | |
| 17 | 1986 | 23 | |
| 18 | 2014 | 23 | |
| 19 | 2020 | 22 | |
| 20 | 2013 | 20 |
About Daniel P. Heruth
Daniel P. Heruth is a scholar working on Molecular Biology, Oncology, Physiology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (5 papers), Neonatal Respiratory Health Research (5 papers), Sirtuins and Resveratrol in Medicine (4 papers), Protist diversity and phylogeny (4 papers), Microtubule and mitosis dynamics (3 papers), Adipose Tissue and Metabolism (3 papers), Hemoglobinopathies and Related Disorders (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Geriatrics and Gerontology (93 citations), Physiology (40 citations), Molecular Biology (500 citations), Nephrology (42 citations) and Genetics (62 citations). Daniel P. Heruth has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Shui Qing Ye, Li Qin Zhang, Paul G. Rothberg, Dmitry N. Grigoryev, Li Q. Zhang, J. F. N. Bradley, Gerald Zirnstein, Martin A. Gorovsky, Margaret Gibson and Sean M. Riordan. Their work appears in journals such as Cell & Bioscience, Scientific Reports, Journal of Pharmacology and Experimental Therapeutics, The FASEB Journal and PLoS ONE.
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.