Jack Tseng

2.1k citations
29 papers · 1.4k · h-index 15

Impact in

Papers in

Jack Tseng

29 papers receiving 1.4k citations

Peers

Jack Tseng
Comparison fields: 5 of 82
  • Developmental Neuroscience 299
  • Cellular and Molecular Neuroscience 788
  • Neurology 246
  • Genetics 266
  • Molecular Biology 625
Replace Lisa J. Fisher with:
Lisa J. Fisher United States
Zachary C. Baquet United States
Caroline Rouaux France
Jean‐Dominique Delcroix United States
Serena Giannelli Italy
Michael B. Rosenberg United States
Simon Stott United Kingdom
Merja H. Voutilainen Finland
Biljana Georgievska Sweden
Asha Bhakar Canada
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Citations per field
00.5×7.5×
Lisa J. Fisher · 1×
Citations per year

Countries citing papers authored by Jack Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Jack Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Tseng. 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 Jack Tseng. The network helps show where Jack Tseng may publish in the future.

Co-authors

The 25 scholars most cited alongside Jack Tseng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jack Tseng Line = papers co-authored together Jack Tseng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000268
2 2000163
3 1997148
4 1997141
5 1996122
6 1998105
7 199891
8 199969
9 199847
10 200345
11 201141
12 201241
13 199726
14 201818
15 200016
16 202013
17 201912
18 201512
19 201311
20 201110

About Jack Tseng

Jack Tseng is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Physiology and Developmental Neuroscience, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nerve injury and regeneration (11 papers), Alzheimer's disease research and treatments (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Neurological disorders and treatments (5 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Computational Drug Discovery Methods (4 papers), Pluripotent Stem Cells Research (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Developmental Neuroscience (299 citations), Cellular and Molecular Neuroscience (788 citations), Neurology (246 citations), Genetics (266 citations) and Molecular Biology (625 citations). Jack Tseng has collaborated with scholars based in United States, Switzerland and Ireland. Frequent co-authors include Patrick Aebischer, Anne D. Zurn, Nicole Déglon, Luís Pereira de Almeida, Jean‐Charles Bensadoun, E. Edward Baetge, Didier Trono, Romain Zufferey, Yvan Arsenijévic and Jean‐Luc Ridet. Their work appears in journals such as Experimental Neurology, Alzheimer s & Dementia, Neuroscience, Clinical Pharmacokinetics and European Journal of Neuroscience.

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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