Seungmo Lim
Impact in
- Endocrinology top 2%
- Plant and Fungal Interactions Research
- Plant Science top 5%
- Plant Virus Research Studies
- Plant Disease Resistance and Genetics
- Plant Pathogenic Bacteria Studies
- Plant-Microbe Interactions and Immunity
Papers in
-
- Plant Virus Research Studies 67
- Plant Disease Resistance and Genetics 25
- Plant Pathogenic Bacteria Studies 15
-
- Plant and Fungal Interactions Research 42
- Co-authors
- Jae Sun Moon (54 shared papers)Davaajargal Igori (29 shared papers)Su-Heon Lee (34 shared papers)Fumei Zhao (19 shared papers)Ran Hee Yoo (16 shared papers)Hyoun–Sub Lim (14 shared papers)Gug-Seoun Choi (7 shared papers)Kil Hyun Kim (5 shared papers)
- Journals
- Archives of Virology (25 papers)Plant Disease (13 papers)Virus Genes (6 papers)The Plant Pathology Journal (5 papers)Virology (1 paper)
- Partner nations
- South KoreaMongoliaUnited States
In The Last Decade
Seungmo Lim
67 papers receiving 548 citations
Peers
Comparison fields: 5 of 28
- Endocrinology 299
- Plant Science 544
- Insect Science 110
- Horticulture 8
- Biotechnology 38
Countries citing papers authored by Seungmo Lim
This map shows the geographic impact of Seungmo 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 Seungmo Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungmo Lim more than expected).
Fields of papers citing papers by Seungmo Lim
This network shows the impact of papers produced by Seungmo 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 Seungmo Lim. The network helps show where Seungmo Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Seungmo Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 42 | |
| 2 | 2015 | 31 | |
| 3 | 2016 | 31 | |
| 4 | 2016 | 30 | |
| 5 | 2015 | 28 | |
| 6 | 2014 | 24 | |
| 7 | 2016 | 17 | |
| 8 | 2016 | 17 | |
| 9 | 2014 | 17 | |
| 10 | 2015 | 17 | |
| 11 | 2015 | 15 | |
| 12 | 2016 | 13 | |
| 13 | 2015 | 13 | |
| 14 | 2018 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2015 | 12 | |
| 17 | 2017 | 12 | |
| 18 | 2015 | 11 | |
| 19 | 2011 | 11 | |
| 20 | 2017 | 11 |
About Seungmo Lim
Seungmo Lim is a scholar working on Plant Science, Endocrinology, Insect Science, Molecular Biology and Ecology, having authored 70 papers that have together received 565 indexed citations. Recurring topics across this work include Plant Virus Research Studies (67 papers), Plant and Fungal Interactions Research (42 papers), Plant Disease Resistance and Genetics (25 papers), Plant Pathogenic Bacteria Studies (15 papers), Insect-Plant Interactions and Control (8 papers), Bacteriophages and microbial interactions (7 papers), Plant tissue culture and regeneration (5 papers) and Insect and Pesticide Research (4 papers). The work is most often cited by research in Endocrinology (299 citations), Plant Science (544 citations), Insect Science (110 citations), Horticulture (8 citations) and Biotechnology (38 citations). Seungmo Lim has collaborated with scholars based in South Korea, Mongolia and United States. Frequent co-authors include Jae Sun Moon, Davaajargal Igori, Su-Heon Lee, Fumei Zhao, Ran Hee Yoo, Hyoun–Sub Lim, Gug-Seoun Choi, Kil Hyun Kim, Suk‐Yoon Kwon and Moon Suk Nam. Their work appears in journals such as Archives of Virology, Plant Disease, Virus Genes, The Plant Pathology Journal and Virology.
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.