Sang Soo Sim

1.3k total citations
40 papers, 1.1k citations indexed

About

Sang Soo Sim is a scholar working on Molecular Biology, Pharmacology and Physiology. According to data from OpenAlex, Sang Soo Sim has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Pharmacology and 6 papers in Physiology. Recurrent topics in Sang Soo Sim's work include Natural product bioactivities and synthesis (7 papers), Phytochemistry and Biological Activities (6 papers) and Pancreatic function and diabetes (4 papers). Sang Soo Sim is often cited by papers focused on Natural product bioactivities and synthesis (7 papers), Phytochemistry and Biological Activities (6 papers) and Pancreatic function and diabetes (4 papers). Sang Soo Sim collaborates with scholars based in South Korea and United States. Sang Soo Sim's co-authors include Chang Jong Kim, Ji-Yun Lee, Uy Dong Sohn, Mi Young􀀁 Choi, Shin Hee Yoon, Yang‐Hyeok Jo, Gyeong Ryul Ryu, Duck‐Joo Rhie, Wan Kyunn Whang and Sang June Hahn and has published in prestigious journals such as Science, Biochemical Pharmacology and Journal of Ethnopharmacology.

In The Last Decade

Sang Soo Sim

40 papers receiving 1.1k citations

Peers

Sang Soo Sim
Comparison fields: 5 of 97
  • Molecular Biology 472
  • Plant Science 253
  • Biochemistry 184
  • Cell Biology 150
  • Endocrinology, Diabetes and Metabolism 144
Replace Na Young Yoon with:
Na Young Yoon South Korea
Chieh‐Hsi Wu Taiwan
Zongtao Lin United States
Ik Soo Lee South Korea
Kohji Yamaguchi Japan
Myra O. Villareal Japan
Hyeon‐Son Choi South Korea
Li‐Sung Hsu Taiwan
Byung‐Yoon Cha Japan
Ramesh B. Kasetti United States
Na Young Yoon South Korea View profile →
Citations per field, relative to Sang Soo Sim
Sang Soo Sim · 1×
Citations per year, relative to Sang Soo Sim
Sang Soo Sim · 1×

Countries citing papers authored by Sang Soo Sim

Since Specialization
Citations

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

Fields of papers citing papers by Sang Soo Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang Soo Sim. 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 Sang Soo Sim. The network helps show where Sang Soo Sim may publish in the future.

Co-authorship network of co-authors of Sang Soo Sim

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Soo Sim. A scholar is included among the top collaborators of Sang Soo Sim 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 Sang Soo Sim. Sang Soo Sim 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
# Work Indexed citations
1 12
2 7
3 9
4 32
5 28
6 10
7 29
8 26
9 42
10 51
11 3
12 82
13 109
14 7
15 56
16 3
17 11
18 3
19 4
20 1

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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