Daniel Udwary

3.9k citations
24 papers · 1.5k · h-index 15

Impact in

  • Pharmacology top 0.5%
    • Microbial Natural Products and Biosynthesis
    • Fungal Biology and Applications
    • Marine Sponges and Natural Products
    • Microbial Metabolism and Applications

Papers in

    • Genomics and Phylogenetic Studies 9
    • Microbial Metabolic Engineering and Bioproduction 5
    • Plant biochemistry and biosynthesis 4
    • Fungal and yeast genetics research 2
    • Microbial Natural Products and Biosynthesis 17

Daniel Udwary

24 papers receiving 1.5k citations

Peers

Daniel Udwary
Comparison fields: 5 of 89
  • Pharmacology 1.0k
  • Biotechnology 382
  • Molecular Biology 996
  • Organic Chemistry 196
  • Ecology 142
Replace Shinya Kodani with:
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Daniel Udwary relative to Shinya Kodani Japan Shinya Kodani's profile →
Citations per field
00.5×
Shinya Kodani · 1×
Citations per year

Countries citing papers authored by Daniel Udwary

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Udwary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007393
2 2009154
3 2006150
4 2004145
5 2008145
6 2006125
7 200294
8 202253
9 201250
10 200244
11 202233
12 201921
13 200820
14 202317
15 202516
16 202414
17 202413
18 20199
19 20076
20 20214

About Daniel Udwary

Daniel Udwary is a scholar working on Molecular Biology, Pharmacology, Biotechnology, Plant Science and Ecology, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (17 papers), Genomics and Phylogenetic Studies (9 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Plant biochemistry and biosynthesis (4 papers), Marine Sponges and Natural Products (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Microbial Metabolism and Applications (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Pharmacology (1.0k citations), Biotechnology (382 citations), Molecular Biology (996 citations), Organic Chemistry (196 citations) and Ecology (142 citations). Daniel Udwary has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Bradley S. Moore, Craig A. Townsend, Paul R. Jensen, William Fenical, Alla Lapidus, Ratnakar N. Asolkar, Lisa Zeigler, Vasanth Singan, Joseph P. Noel and M.B. Austin. Their work appears in journals such as Journal of the American Chemical Society, Journal of Industrial Microbiology & Biotechnology, Nature Reviews Microbiology, Nucleic Acids Research and Proceedings of the National Academy of Sciences.

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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