Thomas Kukar
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
Papers in
- Physiology 19
- Alzheimer's disease research and treatments 18
- Co-authors
- Todd E. Golde (18 shared papers)Qiudong Deng (8 shared papers)Christopher J. Holler (7 shared papers)Georgia Taylor (9 shared papers)Thomas B. Ladd (12 shared papers)Edward H. Koo (12 shared papers)Paola Merino (4 shared papers)Pritam Das (5 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Alzheimer s & Dementia (3 papers)Molecular Neurodegeneration (3 papers)Neurobiology of Disease (3 papers)Journal of Structural Biology (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Thomas Kukar
40 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 100
- Physiology 890
- Neurology 255
- Neurology 461
- Biological Psychiatry 58
- Pharmacology 259
Countries citing papers authored by Thomas Kukar
This map shows the geographic impact of Thomas Kukar'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 Thomas Kukar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Kukar more than expected).
Fields of papers citing papers by Thomas Kukar
This network shows the impact of papers produced by Thomas Kukar. 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 Thomas Kukar. The network helps show where Thomas Kukar may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Kukar, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 228 | |
| 2 | 2021 | 132 | |
| 3 | 2014 | 126 | |
| 4 | 2007 | 102 | |
| 5 | 2017 | 99 | |
| 6 | 2012 | 94 | |
| 7 | 2016 | 86 | |
| 8 | 2013 | 74 | |
| 9 | 2003 | 66 | |
| 10 | 2020 | 65 | |
| 11 | 2002 | 64 | |
| 12 | 2008 | 64 | |
| 13 | 2020 | 63 | |
| 14 | 2011 | 58 | |
| 15 | 2017 | 58 | |
| 16 | 2012 | 52 | |
| 17 | 2001 | 40 | |
| 18 | 2006 | 38 | |
| 19 | 2008 | 36 | |
| 20 | 2022 | 33 |
About Thomas Kukar
Thomas Kukar is a scholar working on Physiology, Molecular Biology, Neurology, Pharmacology and Oncology, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (18 papers), Amyotrophic Lateral Sclerosis Research (15 papers), Cholinesterase and Neurodegenerative Diseases (11 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Computational Drug Discovery Methods (8 papers), Drug Transport and Resistance Mechanisms (7 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Physiology (890 citations), Neurology (255 citations), Neurology (461 citations), Biological Psychiatry (58 citations) and Pharmacology (259 citations). Thomas Kukar has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Todd E. Golde, Qiudong Deng, Christopher J. Holler, Georgia Taylor, Thomas B. Ladd, Edward H. Koo, Paola Merino, Pritam Das, Wei Lian and Dennis W. Dickson. Their work appears in journals such as Journal of Biological Chemistry, Alzheimer s & Dementia, Molecular Neurodegeneration, Neurobiology of Disease and Journal of Structural Biology.
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.