David P. Labeda

5.6k citations
99 papers · 3.8k indexed · 1 hit paper · h-index 36

David P. Labeda

99 papers receiving 3.7k citations

Hit Papers

A roadmap for natural product discovery based on large-sc...3642014202620182022100200300

Peers

David P. Labeda
Comparison fields: 5 of 122
  • Microbiology 386
  • Pharmacology 1.4k
  • Biotechnology 487
  • Cell Biology 597
  • Molecular Biology 2.4k
Replace Takuji Kudo with:
Takuji Kudo Japan
M.D. Collins United Kingdom
F. A. RAINEY Germany
Ingrid Groth Germany
Naomi Ward-Rainey Germany
Martha E. Trujillo Spain
Atsuko Matsumoto Japan
USHA PREMACHANDRAN United States
Rüdiger Pukall Germany
Jin Támaoka Japan
David P. Labeda relative to Takuji Kudo Japan Takuji Kudo's profile →
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-authorship network

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
#Work
1 20213
2 20195
3 201737
4 20176
5 201718
6 201619
7 201648
8 201699
9 2015150
10
A roadmap for natural product discovery based on large-scale genomics and metabolomicsbreakdown →
2014364
11 201456
12 200912
13 20089
14 200511
15 199724
16 199735
17 199529
18 199223
19
Isolation of biotechnological organisms from nature
199096
20 199015

About David P. Labeda

David P. Labeda is a scholar working on Microbiology, Cell Biology, Plant Science, Pharmacology and Applied Microbiology and Biotechnology, having authored 99 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (44 papers), Plant Disease Resistance and Genetics (31 papers), Plant Pathogens and Fungal Diseases (23 papers), Microbial Natural Products and Biosynthesis (20 papers), Actinomycetales infections and treatment (20 papers), Microbial Community Ecology and Physiology (11 papers), Mycorrhizal Fungi and Plant Interactions (7 papers) and Mycobacterium research and diagnosis (5 papers). The work is most often cited by research in Microbiology (386 citations), Pharmacology (1.4k citations), Biotechnology (487 citations), Cell Biology (597 citations) and Molecular Biology (2.4k 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, Lynne A. Becker, Reiner M. Kroppenstedt, 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 Journal of Industrial Microbiology & Biotechnology.

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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