Deepak M. Sampathu

8.9k citations
10 papers · 5.9k indexed · 1 hit paper · h-index 10
Topics
Parkinson's Disease Mechanisms and Treatments (6 papers)Amyotrophic Lateral Sclerosis Research (4 papers)Neurological diseases and metabolism (3 papers)

In The Last Decade

Deepak M. Sampathu

10 papers receiving 5.8k citations

Hit Papers

Ubiquitinated TDP-43 in Frontotemporal Lobar Degeneration...2006202620122019200610002.0k3.0k4.0k

Peers

Deepak M. Sampathu
Comparison fields: 5 of 110
  • Neurology 4.5k
  • Molecular Biology 2.4k
  • Genetics 1.8k
  • Physiology 1.6k
  • Neurology 1.0k
Replace Matthew C. Micsenyi with:
Matthew C. Micsenyi United States
Thomas T. Chou United States
Luc Dupuis France
Piera Pasinelli United States
Stuart Pickering‐Brown United Kingdom
John Ravits United States
Tania F. Gendron United States
Edor Kabashi France
William Camu France
Clotilde Lagier‐Tourenne United States
Deepak M. Sampathu relative to Matthew C. Micsenyi United States Matthew C. Micsenyi's profile →
Citations per field
00.5×1.5×
Matthew C. Micsenyi · 1×
Citations per year

Countries citing papers authored by Deepak M. Sampathu

Since Specialization
Citations

This map shows the geographic impact of Deepak M. Sampathu'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 Deepak M. Sampathu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak M. Sampathu more than expected).

Fields of papers citing papers by Deepak M. Sampathu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepak M. Sampathu. 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 Deepak M. Sampathu. The network helps show where Deepak M. Sampathu may publish in the future.

Co-authorship network of co-authors of Deepak M. Sampathu

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak M. Sampathu. A scholar is included among the top collaborators of Deepak M. Sampathu 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 Deepak M. Sampathu. Deepak M. Sampathu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 83
2 156
3 184
4
Ubiquitinated TDP-43 in Frontotemporal Lobar Degeneration and Amyotrophic Lateral Sclerosisbreakdown →
4830
5 260
6 51
7 127
8 112
9 48
10 14

About Deepak M. Sampathu

Deepak M. Sampathu is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 5.9k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Neurological diseases and metabolism (3 papers). The work is most often cited by research in Neurology (4.5k citations), Genetics (1.8k citations) and Neurology (1.0k citations). Deepak M. Sampathu has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Virginia M.‐Y. Lee, John Q. Trojanowski, Manuela Neumann, Linda K. Kwong, Jennifer Bruce, Matthew C. Micsenyi, Murray Grossman, Thomas T. Chou, Christopher M. Clark and Eliezer Masliah. Their work appears in journals such as Science, Journal of Biological Chemistry and Biochemistry.

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.

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