Jin‐Soo Kim
- Molecular Biology top 0.05%
- Genetics top 0.1%
- Plant Science top 0.2%
- Business and International Management top 0.02%
- Insect Science top 0.2%
- Co-authors
- Sangsu BaeSeung Woo ChoSojung KimSeokjoong KimJeongbin ParkDaesik KimJung‐Eun KimJong Min Kim
- Topics
- CRISPR and Genetic Engineering (140 papers)RNA and protein synthesis mechanisms (44 papers)Advanced biosensing and bioanalysis techniques (36 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Jin‐Soo Kim
315 papers receiving 23.6k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Molecular Biology 21.0k
- Genetics 4.8k
- Plant Science 4.0k
- Business and International Management 2.0k
- Insect Science 1.5k
Countries citing papers authored by Jin‐Soo Kim
This map shows the geographic impact of Jin‐Soo Kim'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 Jin‐Soo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Soo Kim more than expected).
Fields of papers citing papers by Jin‐Soo Kim
This network shows the impact of papers produced by Jin‐Soo Kim. 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 Jin‐Soo Kim. The network helps show where Jin‐Soo Kim may publish in the future.
Co-authorship network of co-authors of Jin‐Soo Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Soo Kim. A scholar is included among the top collaborators of Jin‐Soo Kim 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 Jin‐Soo Kim. Jin‐Soo Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 33 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 35 | |
| 9 | 19 | |
| 10 | 28 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 75 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 12 | |
| 17 | 2 | |
| 18 | Adult liver transplantation using rightliver grafts from deceased donors versus living donors - A comparison of the recipient's outcome. | 1 |
| 19 | Keeping Quality and Taste Compounds in the Extracts from Rapid Fermented Anchovy Sauce | 3 |
| 20 | Nuclear design analysis of wolsung-1 CANDU-PHW nuclear generating station | 1 |
About Jin‐Soo Kim
Jin‐Soo Kim is a scholar working on Business and International Management, Aging and Molecular Biology, having authored 333 papers that have together received 24.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (140 papers), RNA and protein synthesis mechanisms (44 papers) and Advanced biosensing and bioanalysis techniques (36 papers). The work is most often cited by research in Business and International Management (2.0k citations), Aging (1.4k citations) and Molecular Biology (21.0k citations). Jin‐Soo Kim has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Sangsu Bae, Seung Woo Cho, Sojung Kim, Seokjoong Kim, Jeongbin Park, Daesik Kim, Jung‐Eun Kim, Jong Min Kim, Sang‐Tae Kim and Kayeong Lim. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.
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.