Youngman Oh

9.0k citations
101 papers · 7.4k indexed · 1 hit paper · h-index 46

Youngman Oh

100 papers receiving 7.3k citations

Hit Papers

The Insulin-Like Growth Factor-Binding Protein (IGFBP) Su...8691999202620082017250500750

Peers

Youngman Oh
Comparison fields: 5 of 121
  • Endocrinology, Diabetes and Metabolism 4.7k
  • Cancer Research 1.7k
  • Molecular Biology 3.9k
  • Genetics 1.1k
  • Cardiology and Cardiovascular Medicine 853
Replace J. Zapf with:
J. Zapf Switzerland
Haim Werner Israel
M Binoux France
John I. Jones United States
E. R. Froesch Switzerland
Derek Le Roith United States
Shoshana Yakar United States
Matthew M. Rechler United States
Stuart J. Frank United States
Kerstin Hall Sweden
Youngman Oh relative to J. Zapf Switzerland J. Zapf's profile →
Citations per field
00.5×4.8×
J. Zapf · 1×
Citations per year

Countries citing papers authored by Youngman Oh

Since Specialization
Citations

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

Fields of papers citing papers by Youngman Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Youngman Oh. 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 Youngman Oh. The network helps show where Youngman Oh may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20235
3 20212
4 20201
5 201315
6 200645
7 200510
8 200184
9 20018
10 200025
11
Old and new concepts of insulin-like growth factor binding proteins
19982
12 199739
13 199739
14 1996401
15 199425
16 1993112
17 199178
18 1990255
19 198948
20 198938

About Youngman Oh

Youngman Oh is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Molecular Biology, having authored 101 papers that have together received 7.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (84 papers), Metabolism, Diabetes, and Cancer (31 papers), Cancer, Hypoxia, and Metabolism (30 papers), Lipid metabolism and disorders (15 papers), Connective Tissue Growth Factor Research (13 papers), TGF-β signaling in diseases (9 papers), Fibroblast Growth Factor Research (5 papers) and Childhood Cancer Survivors' Quality of Life (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.7k citations), Cancer Research (1.7k citations) and Molecular Biology (3.9k citations). Youngman Oh has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Ron G. Rosenfeld, Vivian Hwa, Hermann L. Müller, Ho-Seong Kim, Hung Pham, GEORGE LAMSON, R G Rosenfeld, Emily Wilson, Yoshitaka Yamanaka and Sherryline Jogie‐Brahim. Their work appears in journals such as Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Journal of Biological Chemistry, Growth Hormone & IGF Research and Acta Paediatrica.

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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