Scott Kulich
Impact in
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments
- Molecular Medicine top 5%
Papers in
- Neurology 10
- Parkinson's Disease Mechanisms and Treatments 6
- Co-authors
- Charleen T. Chu (10 shared papers)Ruben K. Dagda (2 shared papers)Salvatore J. Cherra (2 shared papers)Anurag Tandon (1 shared paper)David S. Park (1 shared paper)Jianhui Zhu (2 shared papers)Joseph Barbieri (5 shared papers)Dara W. Frank (4 shared papers)
- Journals
- Infection and Immunity (3 papers)Free Radical Biology and Medicine (2 papers)Journal of Biological Chemistry (2 papers)Scientific Reports (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesItalyRussia
In The Last Decade
Scott Kulich
26 papers receiving 2.5k citations
Scott Kulich's Hit Papers
Peers
Comparison fields: 5 of 105
- Neurology 599
- Molecular Medicine 133
- Physiology 119
- Neurology 197
- Epidemiology 736
Countries citing papers authored by Scott Kulich
This map shows the geographic impact of Scott Kulich'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 Scott Kulich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Kulich more than expected).
Fields of papers citing papers by Scott Kulich
This network shows the impact of papers produced by Scott Kulich. 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 Scott Kulich. The network helps show where Scott Kulich may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Kulich, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Loss of PINK1 Function Promotes Mitophagy through Effects on Oxidative Stress and Mitochondrial Fission Hit paper breakdown → | 2009 | 791 |
| 2 | 2010 | 263 | |
| 3 | 2004 | 230 | |
| 4 | 2008 | 229 | |
| 5 | 2001 | 173 | |
| 6 | 2002 | 134 | |
| 7 | 1995 | 94 | |
| 8 | 2007 | 83 | |
| 9 | 1994 | 76 | |
| 10 | 2001 | 64 | |
| 11 | 1995 | 58 | |
| 12 | 1995 | 53 | |
| 13 | 2003 | 48 | |
| 14 | 2017 | 46 | |
| 15 | 1993 | 43 | |
| 16 | 2015 | 39 | |
| 17 | 1996 | 39 | |
| 18 | 2001 | 36 | |
| 19 | 2020 | 24 | |
| 20 | 2017 | 20 |
About Scott Kulich
Scott Kulich is a scholar working on Neurology, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Oncology, having authored 28 papers that have together received 2.6k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Toxin Mechanisms and Immunotoxins (4 papers), Glioma Diagnosis and Treatment (4 papers), PARP inhibition in cancer therapy (3 papers), Autophagy in Disease and Therapy (3 papers), Bacterial Genetics and Biotechnology (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Neurology (599 citations), Molecular Medicine (133 citations), Physiology (119 citations), Neurology (197 citations) and Epidemiology (736 citations). Scott Kulich has collaborated with scholars based in United States, Italy and Russia. Frequent co-authors include Charleen T. Chu, Ruben K. Dagda, Salvatore J. Cherra, Anurag Tandon, David S. Park, Jianhui Zhu, Joseph Barbieri, Dara W. Frank, Tim D. Oury and David J. Levinthal. Their work appears in journals such as Infection and Immunity, Free Radical Biology and Medicine, Journal of Biological Chemistry, Scientific Reports and Clinical Cancer 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.