Seh Hong Lim

639 total citations
14 papers, 542 citations indexed

About

Seh Hong Lim is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Seh Hong Lim has authored 14 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Seh Hong Lim's work include MicroRNA in disease regulation (4 papers), Neuroendocrine regulation and behavior (3 papers) and Stress Responses and Cortisol (2 papers). Seh Hong Lim is often cited by papers focused on MicroRNA in disease regulation (4 papers), Neuroendocrine regulation and behavior (3 papers) and Stress Responses and Cortisol (2 papers). Seh Hong Lim collaborates with scholars based in Taiwan, United States and China. Seh Hong Lim's co-authors include Jing Zhou, Jeng‐Jiann Chiu, Shu Chien, Chih-I Lee, Ding-Yu Lee, Shu‐Yi Wei, Wei‐Wen Lin, Ki A. Goosens, Xiaoyu Peng and Barbara Gisabella and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Biomaterials.

In The Last Decade

Seh Hong Lim

14 papers receiving 533 citations

Peers

Seh Hong Lim
Comparison fields: 5 of 80
  • Molecular Biology 286
  • Cancer Research 131
  • Cell Biology 69
  • Physiology 63
  • Surgery 61
Replace Waltke R. Paulding with:
Waltke R. Paulding United States
Lucia Mičutková Slovakia
Kuiwu Wu China
Claudimara Ferini Pacicco Lotfi Brazil
Susana González-Granero Spain
Xili Chu China
Yuji Guo China
Katherine C. Krueger United States
Zhaoxia Du China
Waltke R. Paulding United States View profile →
Citations per field, relative to Seh Hong Lim
Seh Hong Lim · 1×
Citations per year, relative to Seh Hong Lim
Seh Hong Lim · 1×

Countries citing papers authored by Seh Hong Lim

Since Specialization
Citations

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

Fields of papers citing papers by Seh Hong Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seh Hong Lim. 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 Seh Hong Lim. The network helps show where Seh Hong Lim may publish in the future.

Co-authorship network of co-authors of Seh Hong Lim

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 15
2
Growth hormone biases amygdala network activation after fear learning
1
3 25
4 53
5 15
6 11
7 59
8 51
9 22
10 8
11 63
12 88
13 127
14 4

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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