Sam Pitluck

7.7k citations
23 papers · 530 · h-index 16

Impact in

Papers in

    • Genomics and Phylogenetic Studies 18
    • Protist diversity and phylogeny 4
    • Microbial Community Ecology and Physiology 13

Sam Pitluck

23 papers receiving 520 citations

Peers

Sam Pitluck
Comparison fields: 5 of 74
  • Ecology 180
  • Biotechnology 56
  • Pollution 62
  • Environmental Chemistry 41
  • Molecular Biology 239
Replace W.-M. Chen with:
W.-M. Chen Taiwan
Andrey L. Rakitin Russia
Ram Nageena Singh India
Nengfei Wang China
Thomas S. Lankiewicz United States
Amel Guesmi Tunisia
S.-W. Kwon South Korea
Myung-Suk Kang South Korea
Dong-Shan An South Korea
Guang-Da Feng China
Sam Pitluck relative to W.-M. Chen Taiwan W.-M. Chen's profile →
Citations per field
00.5×2×2.7×
W.-M. Chen · 1×
Citations per year

Countries citing papers authored by Sam Pitluck

Since Specialization
Citations

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

Fields of papers citing papers by Sam Pitluck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201152
2 201445
3 201143
4 201440
5 201238
6 201135
7 201128
8 201128
9 200927
10 201126
11 201125
12 201221
13 201217
14 201317
15 201317
16 201115
17 201215
18 201113
19 201210
20 20127

About Sam Pitluck

Sam Pitluck is a scholar working on Molecular Biology, Ecology, Plant Science, Health, Toxicology and Mutagenesis and Cell Biology, having authored 23 papers that have together received 530 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), Microbial Community Ecology and Physiology (13 papers), Protist diversity and phylogeny (4 papers), Plant Disease Resistance and Genetics (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Aquaculture disease management and microbiota (2 papers), Plant Pathogens and Fungal Diseases (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Ecology (180 citations), Biotechnology (56 citations), Pollution (62 citations), Environmental Chemistry (41 citations) and Molecular Biology (239 citations). Sam Pitluck has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Miriam Land, Lynne Goodwin, Tanja Woyke, Cliff Han, Loren Hauser, Susan Lucas, Roxanne Tapia, Nikos C. Kyrpides, Alla Lapidus and David Bruce. Their work appears in journals such as Journal of Bacteriology, Standards in Genomic Sciences, Genome Announcements and Digital Scholarship - UNLV (University of Nevada Reno).

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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