Daniel X. Tishkoff
- Molecular Biology top 5%
- Pathology and Forensic Medicine top 2%
- Geriatrics and Gerontology top 0.2%
- Epidemiology top 5%
- Physiology top 5%
- Co-authors
- Richard D. KolodnerDavid B. LombardBernadette ZwaansYi ZhangChao PengYingming ZhaoZhongyu XieMinjia Tan
- Topics
- DNA Repair Mechanisms (7 papers)Sirtuins and Resveratrol in Medicine (5 papers)Fungal and yeast genetics research (4 papers)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Daniel X. Tishkoff
16 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 2.2k
- Pathology and Forensic Medicine 757
- Geriatrics and Gerontology 730
- Epidemiology 471
- Physiology 419
Countries citing papers authored by Daniel X. Tishkoff
This map shows the geographic impact of Daniel X. Tishkoff'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 X. Tishkoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel X. Tishkoff more than expected).
Fields of papers citing papers by Daniel X. Tishkoff
This network shows the impact of papers produced by Daniel X. Tishkoff. 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 X. Tishkoff. The network helps show where Daniel X. Tishkoff may publish in the future.
Co-authorship network of co-authors of Daniel X. Tishkoff
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel X. Tishkoff. A scholar is included among the top collaborators of Daniel X. Tishkoff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel X. Tishkoff. Daniel X. Tishkoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | SIRT5-Mediated Lysine Desuccinylation Impacts Diverse Metabolic Pathwaysbreakdown → | 770 |
| 3 | 57 | |
| 4 | The First Identification of Lysine Malonylation Substrates and Its Regulatory Enzymebreakdown → | 597 |
| 5 | 107 | |
| 6 | 212 | |
| 7 | 141 | |
| 8 | 107 | |
| 9 | Identification of a human gene encoding a homologue of Saccharomyces cerevisiae EXO1, an exonuclease implicated in mismatch repair and recombination. | 133 |
| 10 | 399 | |
| 11 | 171 | |
| 12 | 331 | |
| 13 | 41 | |
| 14 | 36 | |
| 15 | 2 | |
| 16 | 92 |
About Daniel X. Tishkoff
Daniel X. Tishkoff is a scholar working on Geriatrics and Gerontology, Aging and Pathology and Forensic Medicine, having authored 16 papers that have together received 3.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Sirtuins and Resveratrol in Medicine (5 papers) and Fungal and yeast genetics research (4 papers). The work is most often cited by research in Geriatrics and Gerontology (730 citations), Aging (77 citations) and Pathology and Forensic Medicine (757 citations). Daniel X. Tishkoff has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Richard D. Kolodner, David B. Lombard, Bernadette Zwaans, Yi Zhang, Chao Peng, Yingming Zhao, Zhongyu Xie, Minjia Tan, Robert U. Simpson and Pascale Bertrand. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Molecular Cell.
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.