Han‐Mo Koo

497 citations
22 papers · 374 · h-index 10

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • Parathyroid Disorders and Treatments

Papers in

Han‐Mo Koo

20 papers receiving 357 citations

Peers

Han‐Mo Koo
Comparison fields: 5 of 73
  • Virology 35
  • Nephrology 35
  • Genetics 128
  • Pharmacology 46
  • Plant Science 94
Replace Toshihiko Asano with:
Toshihiko Asano Japan
Hanh Nguyen United States
Yiquan Li China
Lilian Caroline Gonçalves de Oliveira Brazil
Chie Hirama Japan
Yusen Zhou United States
Gergely Imre Germany
Soon-Duck Ha Canada
Leonardo Vitorino Costa de Aquino Brazil
James R. Myette United States
Han‐Mo Koo relative to Toshihiko Asano Japan Toshihiko Asano's profile →
Citations per field
00.5×10×13.4×
Toshihiko Asano · 1×
Citations per year

Countries citing papers authored by Han‐Mo Koo

Since Specialization
Citations

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

Fields of papers citing papers by Han‐Mo Koo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han‐Mo Koo. 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 Han‐Mo Koo. The network helps show where Han‐Mo Koo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200661
2 200943
3 200443
4 201341
5 199234
6
Ras oncogene-induced sensitization to 1-beta-D-arabinofuranosylcytosine.
199929
7 199129
8 199229
9 199416
10 200416
11 20157
12 20156
13 20045
14 20104
15 20083
16 20112
17 20152
18
Characterization of 7S and 11S Globulins in Soybean Varieties Differing in Seed Size and Their Effects on the Properties of Soybean Curd
20081
19 20041
20 20111

About Han‐Mo Koo

Han‐Mo Koo is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Pharmacology, Molecular Biology and Epidemiology, having authored 22 papers that have together received 374 indexed citations. Recurring topics across this work include Ecology and Conservation Studies (4 papers), Fungal Biology and Applications (4 papers), Herpesvirus Infections and Treatments (3 papers), Animal Virus Infections Studies (2 papers), Plant Virus Research Studies (2 papers), Polysaccharides and Plant Cell Walls (2 papers), Plant and animal studies (2 papers) and Light effects on plants (2 papers). The work is most often cited by research in Virology (35 citations), Nephrology (35 citations), Genetics (128 citations), Pharmacology (46 citations) and Plant Science (94 citations). Han‐Mo Koo has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Yacov Ron, Joseph P. Dougherty, Yun-Hae Lee, Xudong Liang, George F. Vande Woude, Brian Cao, Ping Zhao, Arthur Brown, Mary Jane McWilliams and W. Gregory Alvord. Their work appears in journals such as Journal of Virology, Virology, Clinical Cancer Research, Human Antibodies and The Plant Pathology Journal.

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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