Youngman Oh

108 papers receiving 7.7k citations

Youngman Oh's Hit Papers

The Insulin-Like Growth Factor-Binding Protein (IGFBP) Superfamily* 1999 · 912 citations
9120+9+18Years since publication250500750

Peers

Youngman Oh
Comparison fields: 5 of 119
  • Endocrinology, Diabetes and Metabolism 4.8k
  • Cancer Research 1.7k
  • Molecular Biology 3.7k
  • Genetics 1.0k
  • Cardiology and Cardiovascular Medicine 791
Replace J. Zapf with:
J. Zapf Switzerland
David R. Powell United States
Haim Werner Israel
Jürgen Zapf Switzerland
M Binoux France
Ernst Rudolf Froesch Switzerland
John I.W. Jones United States
Liam J. Murphy Canada
Matthew M. Rechler United States
Gunnar Norstedt Sweden
Youngman Oh relative to J. Zapf Switzerland J. Zapf's profile →
Citations per field
00.5×2×4×6×8.5×
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-authors

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

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Insulin-Like Growth Factor-Binding Protein (IGFBP) Superfamily*
Hit paper breakdown →
1999912
2 1993441
3 1996424
4 1996331
5 1997311
6 1993285
7 2009283
8 1990272
9
Insulin-like growth factor binding protein 3 mediates retinoic acid- and transforming growth factor beta2-induced growth inhibition in human breast cancer cells.
1996234
10 1995214
11 1997192
12 2002142
13 2001139
14 2010122
15 1993121
16 1992121
17 1999112
18 1998109
19 1989101
20 199896

About Youngman Oh

Youngman Oh is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics, having authored 108 papers that have together received 8.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (89 papers), Metabolism, Diabetes, and Cancer (33 papers), Cancer, Hypoxia, and Metabolism (30 papers), Lipid metabolism and disorders (15 papers), TGF-β signaling in diseases (13 papers), Connective Tissue Growth Factor Research (13 papers), Fibroblast Growth Factor Research (6 papers) and Childhood Cancer Survivors' Quality of Life (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.8k citations), Cancer Research (1.7k citations), Molecular Biology (3.7k citations), Genetics (1.0k citations) and Cardiology and Cardiovascular Medicine (791 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 Lothar Muller, 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, Acta Paediatrica and Biochemical and Biophysical Research Communications.

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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