Heh‐In Im

2.5k citations
41 papers · 2.1k · h-index 19

Impact in

Papers in

Heh‐In Im

40 papers receiving 2.0k citations

Peers

Heh‐In Im
Comparison fields: 5 of 112
  • Biological Psychiatry 126
  • Developmental Neuroscience 170
  • Cancer Research 607
  • Cellular and Molecular Neuroscience 514
  • Behavioral Neuroscience 86
Replace Úrsula Wyneken with:
Úrsula Wyneken Chile
Stefano Farioli‐Vecchioli Italy
Jan Rodriguez Parkitna Poland
Qi Xu China
Rulun Zhou United States
Cataldo Tirolo Italy
Matthew M. Dobbin United States
Nunzio Testa Italy
Kelly R. Tan Switzerland
Oksana Kaidanovich‐Beilin Canada
Heh‐In Im relative to Úrsula Wyneken Chile Úrsula Wyneken's profile →
Citations per field
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Úrsula Wyneken · 1×
Citations per year

Countries citing papers authored by Heh‐In Im

Since Specialization
Citations

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

Fields of papers citing papers by Heh‐In Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heh‐In Im. 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 Heh‐In Im. The network helps show where Heh‐In Im may publish in the future.

Co-authors

The 25 scholars most cited alongside Heh‐In Im, 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 Heh‐In Im Line = papers co-authored together Heh‐In Im links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010381
2 2012341
3 2010339
4 2016211
5 2010125
6 201692
7 200544
8 200940
9 201435
10 201834
11 201934
12 201732
13 201129
14 201523
15 201622
16 201821
17 202220
18 201820
19 201019
20 201917

About Heh‐In Im

Heh‐In Im is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cancer Research and Cognitive Neuroscience, having authored 41 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Genetics and Neurodevelopmental Disorders (7 papers), MicroRNA in disease regulation (7 papers), Receptor Mechanisms and Signaling (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Alzheimer's disease research and treatments (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Nuclear Receptors and Signaling (4 papers). The work is most often cited by research in Biological Psychiatry (126 citations), Developmental Neuroscience (170 citations), Cancer Research (607 citations), Cellular and Molecular Neuroscience (514 citations) and Behavioral Neuroscience (86 citations). Heh‐In Im has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Paul J. Kenny, Purva Bali, Jonathan A. Hollander, Byung Sun Kim, Heeok Hong, Michael D. Conkright, Jannet Kocerha, Claes Wahlestedt, Antonio L. Amelio and Qun Lu. Their work appears in journals such as PLoS ONE, Experimental Neurobiology, Molecular Brain, Addiction Biology and Molecular Neurobiology.

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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