Daniel M. Brown

1.2k citations
9 papers · 974 indexed · 1 hit paper · h-index 6

Daniel M. Brown

8 papers receiving 909 citations

Hit Papers

Discovery of betulinic acid as a selective inhibitor of h...7341995202620052015200400600

Peers

Daniel M. Brown
Comparison fields: 5 of 76
  • Toxicology 102
  • Molecular Biology 803
  • Biochemistry 66
  • Applied Microbiology and Biotechnology 18
  • Cancer Research 127
Replace Norman R. Farnsworth with:
Norman R. Farnsworth United States
Kōtaro Murakami Japan
Gerald A. Wächter United States
Melanie N. Laszczyk Germany
Kuo-Hsiung Lee United States
Jan Šarek Czechia
Faya Martin Millimouno China
Sakae Yamanouchi Japan
О. Б. Флехтер Russia
Chia-Yu Ma Taiwan
Daniel M. Brown relative to Norman R. Farnsworth United States Norman R. Farnsworth's profile →
Citations per field
00.5×1.5×
Norman R. Farnsworth · 1×
Citations per year

Countries citing papers authored by Daniel M. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Brown. 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 Daniel M. Brown. The network helps show where Daniel M. Brown may publish in the future.

Co-authorship network

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

All Works

9 of 9 papers shown
#Work
1 20250
2 1996121
3 199523
4 199545
5
Discovery of betulinic acid as a selective inhibitor of human melanoma that functions by induction of apoptosisbreakdown →
1995734
6 199520
7 199424
8 19945
9 19942

About Daniel M. Brown

Daniel M. Brown is a scholar working on Toxicology, Biochemistry, Molecular Biology, Pharmacology and Biomaterials, having authored 9 papers that have together received 974 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (6 papers), Cancer therapeutics and mechanisms (2 papers), Phytochemical compounds biological activities (2 papers), Bioactive Compounds and Antitumor Agents (1 paper), Phytochemistry and Bioactive Compounds (1 paper), Click Chemistry and Applications (1 paper), DNA and Nucleic Acid Chemistry (1 paper) and Garlic and Onion Studies (1 paper). The work is most often cited by research in Toxicology (102 citations), Molecular Biology (803 citations), Biochemistry (66 citations), Applied Microbiology and Biotechnology (18 citations) and Cancer Research (127 citations). Daniel M. Brown has collaborated with scholars based in United States, United Kingdom and Zimbabwe. Frequent co-authors include Monroe E. Wall, A. Douglas Kinghorn, John M. Pezzuto, Geoffrey A. Cordell, Norman R. Farnsworth, Harry H. S. Fong, Emily Pisha, Mansukh C. Wani, Tapas K. Das Gupta and Ik‐Soo Lee. Their work appears in journals such as Journal of Natural Products, Phytomedicine, Nature Medicine, Ecotoxicology and Environmental Safety and Journal of Medicinal Chemistry.

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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