Sung‐Ho Goh

111 total papers · 2.6k total citations
50 papers, 2.0k citations indexed

About

Sung‐Ho Goh is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Sung‐Ho Goh has authored 50 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 16 papers in Oncology and 15 papers in Cancer Research. Recurrent topics in Sung‐Ho Goh's work include RNA modifications and cancer (8 papers), Nanoplatforms for cancer theranostics (5 papers) and Peptidase Inhibition and Analysis (4 papers). Sung‐Ho Goh is often cited by papers focused on RNA modifications and cancer (8 papers), Nanoplatforms for cancer theranostics (5 papers) and Peptidase Inhibition and Analysis (4 papers). Sung‐Ho Goh collaborates with scholars based in South Korea, United States and India. Sung‐Ho Goh's co-authors include Yongdoo Choi, Jeffery L. Miller, Natarajan V. Bhanu, Y Terry Lee, Toshihiko Tanno, Patricia O’Neal, Thomas E. Eling, John W. Moroney, Ruihong Wang and Naomi L.C. Luban and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Blood.

In The Last Decade

Sung‐Ho Goh

49 papers receiving 2.0k citations

Hit Papers

High levels of GDF15 in t... 2007 2026 2013 2019 2007 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Sung‐Ho Goh 734 590 585 319 278 50 2.0k
Michael H. Creer 1.2k 1.6× 329 0.6× 417 0.7× 234 0.7× 150 0.5× 69 2.4k
Barend Bouma 821 1.1× 623 1.1× 895 1.5× 182 0.6× 69 0.2× 41 2.6k
Asterios S. Tsiftsoglou 1.3k 1.7× 482 0.8× 269 0.5× 171 0.5× 157 0.6× 93 2.5k
Jaroslav Truksa 762 1.0× 742 1.3× 922 1.6× 392 1.2× 67 0.2× 44 2.0k
Lan Coffman 838 1.1× 590 1.0× 844 1.4× 448 1.4× 114 0.4× 48 2.7k
Howard H. Sussman 1.3k 1.8× 283 0.5× 412 0.7× 129 0.4× 69 0.2× 73 2.9k
Gerard Marx 433 0.6× 484 0.8× 386 0.7× 78 0.2× 156 0.6× 90 2.0k
Nunziata Maio 1.1k 1.5× 143 0.2× 310 0.5× 253 0.8× 73 0.3× 37 2.2k
Matthew J. Taylor 645 0.9× 155 0.3× 230 0.4× 373 1.2× 103 0.4× 31 1.8k
Y Niitsu 1.1k 1.4× 757 1.3× 331 0.6× 235 0.7× 84 0.3× 79 2.4k

Countries citing papers authored by Sung‐Ho Goh

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Ho Goh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung‐Ho Goh

This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Ho Goh. A scholar is included among the top collaborators of Sung‐Ho Goh 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 Sung‐Ho Goh. Sung‐Ho Goh 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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