David P. Labeda

104 papers receiving 4.1k citations

David P. Labeda's Hit Papers

A roadmap for natural product discovery based on large-scale genomics and metabolomics 2014 · 387 citations
3870+4+8Years since publication100200300

Peers

David P. Labeda
Comparison fields: 5 of 122
  • Microbiology 459
  • Pharmacology 1.4k
  • Biotechnology 526
  • Cell Biology 703
  • Molecular Biology 2.7k
Replace Takuji Kudo with:
Takuji Kudo Japan
M.D. Collins United Kingdom
F. A. RAINEY Germany
Martha E. Trujillo Spain
Ingrid Groth Germany
Naomi Ward-Rainey Germany
Grace Alderson United Kingdom
Atsuko Matsumoto Japan
Rüdiger Pukall Germany
USHA PREMACHANDRAN United States
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Citations per field
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Takuji Kudo · 1×
Citations per year

Countries citing papers authored by David P. Labeda

Since Specialization
Citations

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

Fields of papers citing papers by David P. Labeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Labeda. 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 P. Labeda. The network helps show where David P. Labeda may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A roadmap for natural product discovery based on large-scale genomics and metabolomics
Hit paper breakdown →
2014387
2 1986282
3 1997254
4 2015167
5 2014150
6 2013141
7
Isolation of biotechnological organisms from nature
1990123
8 2016101
9 200791
10 200286
11 198582
12 198781
13 201079
14 198472
15 200071
16 201367
17 200166
18 200462
19 200360
20 201459

About David P. Labeda

David P. Labeda is a scholar working on Molecular Biology, Plant Science, Cell Biology, Pharmacology and Microbiology, having authored 106 papers that have together received 4.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (49 papers), Plant Disease Resistance and Genetics (31 papers), Plant Pathogens and Fungal Diseases (24 papers), Actinomycetales infections and treatment (20 papers), Microbial Natural Products and Biosynthesis (20 papers), Microbial Community Ecology and Physiology (13 papers), Mycorrhizal Fungi and Plant Interactions (9 papers) and Probiotics and Fermented Foods (6 papers). The work is most often cited by research in Microbiology (459 citations), Pharmacology (1.4k citations), Biotechnology (526 citations), Cell Biology (703 citations) and Molecular Biology (2.7k citations). David P. Labeda has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Mary P. Lechevalier, William W. Metcalf, James R. Doroghazi, Kou‐San Ju, Jisheng Ruan, H. Prauser, Reiner M. Kroppenstedt, Lynne A. Becker, R. M. Kroppenstedt and Hubert A. Lechevalier. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Antonie van Leeuwenhoek, Applied and Environmental Microbiology, The Journal of Antibiotics and Canadian Journal of Microbiology.

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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