Doo‐Man Oh

1.1k citations
14 papers · 980 · h-index 11

Impact in

    • Drug Solubulity and Delivery Systems
    • Advanced Drug Delivery Systems
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms

Papers in

Doo‐Man Oh

14 papers receiving 921 citations

Peers

Doo‐Man Oh
Comparison fields: 5 of 91
  • Pharmaceutical Science 348
  • Oncology 334
  • Biochemistry 79
  • Pharmacology 87
  • Infectious Diseases 147
Replace Lucia Lazorova with:
Lucia Lazorova Sweden
Peidi Hu United States
Gloria Y. Kwei United States
Amale A. Hawi United States
Josef J. Tukker Netherlands
Nicholas M. Bonham Sweden
Jan van Gelder Belgium
Todd M. Baughman United States
Brita Sjöström Sweden
Vicente Germán Casabó Spain
Doo‐Man Oh relative to Lucia Lazorova Sweden Lucia Lazorova's profile →
Citations per field
00.5×1.5×2×2.3×
Lucia Lazorova · 1×
Citations per year

Countries citing papers authored by Doo‐Man Oh

Since Specialization
Citations

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

Fields of papers citing papers by Doo‐Man Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Doo‐Man 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 Doo‐Man Oh Line = papers co-authored together Doo‐Man Oh links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1998272
2 1993209
3 2000134
4 199890
5 200366
6 200248
7 200343
8 199935
9 199131
10 199525
11 199920
12 20024
13 20052
14 19941

About Doo‐Man Oh

Doo‐Man Oh is a scholar working on Pharmaceutical Science, Oncology, Biochemistry, Pediatrics, Perinatology and Child Health and Physiology, having authored 14 papers that have together received 980 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (6 papers), Drug Solubulity and Delivery Systems (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Crystallization and Solubility Studies (2 papers), Surfactants and Colloidal Systems (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Glycogen Storage Diseases and Myoclonus (1 paper) and Analytical Methods in Pharmaceuticals (1 paper). The work is most often cited by research in Pharmaceutical Science (348 citations), Oncology (334 citations), Biochemistry (79 citations), Pharmacology (87 citations) and Infectious Diseases (147 citations). Doo‐Man Oh has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Gordon L. Amidon, Rane L. Curl, Hyo-Kyung Han, Julie K. Rhie, John R. Crison, Wolfgang Sadée, Remco L.A. de Vrueh, Philip L. Smith, David H. Fleisher and Lilian Yanqing Li. Their work appears in journals such as Pharmaceutical Research, Journal of Pharmaceutical Sciences, Archives of Pharmacal Research, Pharmaceutical biotechnology and International Journal of Pharmaceutics.

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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