Travis L. Unger

4.6k citations
29 papers · 3.4k indexed · h-index 21
Topics
Amyotrophic Lateral Sclerosis Research (8 papers)Parkinson's Disease Mechanisms and Treatments (6 papers)Cancer, Hypoxia, and Metabolism (5 papers)

In The Last Decade

Travis L. Unger

29 papers receiving 3.4k citations

Peers

Travis L. Unger
Comparison fields: 5 of 111
  • Molecular Biology 1.5k
  • Neurology 1000
  • Cancer Research 827
  • Physiology 641
  • Genetics 591
Replace Olivier Nicole with:
Olivier Nicole France
Paolo Guarnieri United States
Kenian Chen United States
Rickie Patani United Kingdom
Camille Doykan United States
Curt Mazur United States
Brett M. Morrison United States
Willeke van Roon‐Mom Netherlands
Donald Pizzo United States
Véronique E. Miron United Kingdom
Travis L. Unger relative to Olivier Nicole France Olivier Nicole's profile →
Citations per field
00.5×3.6×
Olivier Nicole · 1×
Citations per year

Countries citing papers authored by Travis L. Unger

Since Specialization
Citations

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

Fields of papers citing papers by Travis L. Unger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis L. Unger. 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 Travis L. Unger. The network helps show where Travis L. Unger may publish in the future.

Co-authorship network of co-authors of Travis L. Unger

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 19
2 16
3 51
4 171
5 83
6 324
7 176
8 238
9 54
10 263
11 290
12 118
13 469
14 45
15 258
16 407
17 78
18 72
19 3
20 37

About Travis L. Unger

Travis L. Unger is a scholar working on Neurology, Neurology and Developmental Neuroscience, having authored 29 papers that have together received 3.4k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (8 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Biological Psychiatry (254 citations), Neurology (1000 citations) and Genetics (591 citations). Travis L. Unger has collaborated with scholars based in United States, Germany and Slovakia. Frequent co-authors include Károly Mirnics, Volker H. Haase, Jennifer Rha, Brian Keith, David A. Lewis, Dominique Arion, Qingdu Liu, John Q. Trojanowski, Virginia M.‐Y. Lee and Erinn B. Rankin. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

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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