Kwon‐Ho Song

128 total papers · 1.7k total citations
52 papers, 1.2k citations indexed

About

Kwon‐Ho Song is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Kwon‐Ho Song has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 20 papers in Immunology and 16 papers in Oncology. Recurrent topics in Kwon‐Ho Song's work include Immunotherapy and Immune Responses (10 papers), Glycosylation and Glycoproteins Research (9 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Kwon‐Ho Song is often cited by papers focused on Immunotherapy and Immune Responses (10 papers), Glycosylation and Glycoproteins Research (9 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Kwon‐Ho Song collaborates with scholars based in South Korea, United States and Japan. Kwon‐Ho Song's co-authors include Tae Woo Kim, Kyung Hee Noh, Se Jin Oh, Hanbyoul Cho, Joon‐Yong Chung, Cheorl‐Ho Kim, Jae‐Hoon Kim, Kyung‐Mi Lee, Stephen M. Hewitt and Young Ho Lee and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

In The Last Decade

Kwon‐Ho Song

51 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kwon‐Ho Song 714 340 310 203 102 52 1.2k
Na Luo 623 0.9× 351 1.0× 328 1.1× 182 0.9× 94 0.9× 46 1.3k
Stanisław Szala 840 1.2× 311 0.9× 343 1.1× 163 0.8× 99 1.0× 78 1.4k
Ranjini K. Sundaram 594 0.8× 377 1.1× 285 0.9× 189 0.9× 63 0.6× 46 1.5k
Na Li 705 1.0× 437 1.3× 361 1.2× 240 1.2× 106 1.0× 38 1.3k
Padma Shastry 698 1.0× 218 0.6× 310 1.0× 164 0.8× 104 1.0× 48 1.2k
Dennis Kobelt 762 1.1× 425 1.3× 179 0.6× 241 1.2× 72 0.7× 58 1.4k
Hanshuo Yang 655 0.9× 260 0.8× 215 0.7× 227 1.1× 194 1.9× 57 1.1k
Ghanbar Mahmoodi Chalbatani 911 1.3× 309 0.9× 287 0.9× 362 1.8× 79 0.8× 32 1.4k
Ying Yang 575 0.8× 306 0.9× 238 0.8× 195 1.0× 76 0.7× 36 1.1k
Feng Yan 716 1.0× 177 0.5× 225 0.7× 170 0.8× 82 0.8× 47 1.1k

Countries citing papers authored by Kwon‐Ho Song

Since Specialization
Citations

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

Fields of papers citing papers by Kwon‐Ho Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwon‐Ho Song. 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 Kwon‐Ho Song. The network helps show where Kwon‐Ho Song may publish in the future.

Co-authorship network of co-authors of Kwon‐Ho Song

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

All Works

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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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2026