David Newman
Impact in
- Toxicology top 0.01%
- Bioactive Compounds and Antitumor Agents
- Pharmacology top 0.01%
- Microbial Natural Products and Biosynthesis
Papers in
-
- Phytochemical compounds biological activities 21
- Pharmacology 94
- Microbial Natural Products and Biosynthesis 79
- Co-authors
- Gordon M. Cragg (76 shared papers)Kenneth M. Snader (6 shared papers)Paul G. Grothaus (14 shared papers)Charles S. Zender (2 shared papers)David G. I. Kingston (12 shared papers)Huisheng Bian (1 shared paper)Padhraic Smyth (11 shared papers)Timothy Baldwin (8 shared papers)
- Journals
- Journal of Natural Products (34 papers)Proceedings of the American Mathematical Society (16 papers)Clinical Chemistry (12 papers)Annals of Clinical Biochemistry International Journal of Laboratory Medicine (10 papers)The FASEB Journal (7 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
David Newman
396 papers receiving 44.2k citations
David Newman's Hit Papers
Peers
Comparison fields: 5 of 229
- Toxicology 2.4k
- Pharmacology 11.1k
- Biotechnology 5.1k
- Pharmacology 3.8k
- Complementary and alternative medicine 2.6k
Countries citing papers authored by David Newman
This map shows the geographic impact of David Newman'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 David Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Newman more than expected).
Fields of papers citing papers by David Newman
This network shows the impact of papers produced by David Newman. 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 David Newman. The network helps show where David Newman may publish in the future.
Co-authors
The 25 scholars most cited alongside David Newman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 418 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Natural Products as Sources of New Drugs from 1981 to 2014 Hit paper breakdown → | 2016 | 4764 |
| 2 | Natural Products as Sources of New Drugs over the Nearly Four Decades from 01/1981 to 09/2019 Hit paper breakdown → | 2020 | 4692 |
| 3 | Natural Products as Sources of New Drugs over the Last 25 Years Hit paper breakdown → | 2007 | 4647 |
| 4 | Natural Products As Sources of New Drugs over the 30 Years from 1981 to 2010 Hit paper breakdown → | 2012 | 3957 |
| 5 | Natural Products as Sources of New Drugs over the Period 1981−2002 Hit paper breakdown → | 2003 | 2512 |
| 6 | Natural products: A continuing source of novel drug leads Hit paper breakdown → | 2013 | 2326 |
| 7 | Plants as a source of anti-cancer agents Hit paper breakdown → | 2005 | 1686 |
| 8 | Natural Products in Drug Discovery and Development Hit paper breakdown → | 1997 | 1277 |
| 9 | Impact of Natural Products on Developing New Anti-Cancer Agents Hit paper breakdown → | 2009 | 1113 |
| 10 | The influence of natural products upon drug discovery (Antiquity to late 1999) Hit paper breakdown → | 2000 | 1056 |
| 11 | Mineral Dust Entrainment and Deposition (DEAD) model: Description and 1990s dust climatology Hit paper breakdown → | 2003 | 967 |
| 12 | UCI Repository of Machine Learning Database Hit paper breakdown → | 1998 | 699 |
| 13 | Marine Natural Products and Related Compounds in Clinical and Advanced Preclinical Trials Hit paper breakdown → | 2004 | 633 |
| 14 | Natural Products as Leads to Potential Drugs: An Old Process or the New Hope for Drug Discovery? Hit paper breakdown → | 2008 | 604 |
| 15 | Anticancer Agents from Natural Products Hit paper breakdown → | 2005 | 554 |
| 16 | The odyssey of marine pharmaceuticals: a current pipeline perspective Hit paper breakdown → | 2010 | 542 |
| 17 | Automatic Evaluation of Topic Coherence Hit paper breakdown → | 2010 | 527 |
| 18 | Fast collapsed gibbs sampling for latent dirichlet allocation Hit paper breakdown → | 2008 | 420 |
| 19 | 2001 | 313 | |
| 20 | 2005 | 290 |
About David Newman
David Newman is a scholar working on Molecular Biology, Pharmacology, Biotechnology, Organic Chemistry and Artificial Intelligence, having authored 418 papers that have together received 47.2k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (79 papers), Marine Sponges and Natural Products (47 papers), Topic Modeling (25 papers), Bioactive Compounds and Antitumor Agents (23 papers), Phytochemical compounds biological activities (21 papers), Chronic Kidney Disease and Diabetes (14 papers), Synthesis and Biological Activity (14 papers) and Natural Language Processing Techniques (14 papers). The work is most often cited by research in Toxicology (2.4k citations), Pharmacology (11.1k citations), Biotechnology (5.1k citations), Pharmacology (3.8k citations) and Complementary and alternative medicine (2.6k citations). David Newman has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Gordon M. Cragg, Kenneth M. Snader, Paul G. Grothaus, Charles S. Zender, David G. I. Kingston, Huisheng Bian, Padhraic Smyth, Timothy Baldwin, Christopher P. Price and Jey Han Lau. Their work appears in journals such as Journal of Natural Products, Proceedings of the American Mathematical Society, Clinical Chemistry, Annals of Clinical Biochemistry International Journal of Laboratory Medicine and The FASEB Journal.
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.