James M. Moore

115 papers receiving 4.6k citations

Peers

James M. Moore
Comparison fields: 5 of 172
  • Toxicology 252
  • Industrial and Manufacturing Engineering 360
  • Molecular Biology 2.4k
  • Anesthesiology and Pain Medicine 187
  • Plant Science 1.2k
Replace Jeong Eun Lee with:
Jeong Eun Lee South Korea
André C. Müller Austria
Gwang Lee South Korea
William H. Wood United States
Ying Xiao China
Shinichi Kobayashi Japan
Tao Li China
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James M. Moore relative to Jeong Eun Lee South Korea Jeong Eun Lee's profile →
Citations per field
00.5×10.4×
Jeong Eun Lee · 1×
Citations per year

Countries citing papers authored by James M. Moore

Since Specialization
Citations

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

Fields of papers citing papers by James M. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Moore. 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 James M. Moore. The network helps show where James M. Moore may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003322
2 1999282
3 2001257
4 2007202
5 2015200
6 1998188
7
CORELAP - Computerized Relationship Layout Planning.
1967178
8 1998177
9 2005176
10 2007147
11 2014139
12 2001137
13 2008100
14 2012100
15 200477
16 199871
17
Genetic characterization of hadad, a mutant disrupting female gametogenesis in Arabidopsis thaliana.
199771
18 197068
19 199965
20 200564

About James M. Moore

James M. Moore is a scholar working on Molecular Biology, Spectroscopy, Surgery, Toxicology and Plant Science, having authored 119 papers that have together received 4.8k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (28 papers), Mass Spectrometry Techniques and Applications (15 papers), Forensic Toxicology and Drug Analysis (13 papers), Anesthesia and Pain Management (13 papers), Plant Reproductive Biology (12 papers), Plant Molecular Biology Research (11 papers), Advanced Manufacturing and Logistics Optimization (6 papers) and Microfluidic and Capillary Electrophoresis Applications (6 papers). The work is most often cited by research in Toxicology (252 citations), Industrial and Manufacturing Engineering (360 citations), Molecular Biology (2.4k citations), Anesthesiology and Pain Medicine (187 citations) and Plant Science (1.2k citations). James M. Moore has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Ueli Grossniklaus, Galina N. Filippova, Spencer S. Liu, Donald A. Cooper, John F. Casale, Stephen J. Tapscott, Victor V. Lobanenkov, Randall L. Carpenter, Christine M. Distèche and Wendy B. Gagliano. Their work appears in journals such as Journal of Chromatography A, Anesthesia & Analgesia, Analytical Chemistry, Anesthesiology and Development.

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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