Robert C Doerr

41 papers receiving 856 citations

Peers

Robert C Doerr
Comparison fields: 5 of 114
  • Health, Toxicology and Mutagenesis 223
  • Biochemistry 87
  • Process Chemistry and Technology 35
  • Animal Science and Zoology 109
  • Food Science 161
Replace Pedro Afonso de Paula Pereira with:
Pedro Afonso de Paula Pereira Brazil
Gregory W. Diachenko United States
Walter Fiddler United States
Mustafa Zafer Özel Türkiye
José Ruiz‐Jiménez Spain
B. Kolb United States
John W. Pensabene United States
A. E. Wasserman United States
Stephen W. Seaman Canada
Zenilda de Lourdes Cardeal Brazil
Robert C Doerr relative to Pedro Afonso de Paula Pereira Brazil Pedro Afonso de Paula Pereira's profile →
Citations per field
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Pedro Afonso de Paula Pereira · 1×
Citations per year

Countries citing papers authored by Robert C Doerr

Since Specialization
Citations

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

Fields of papers citing papers by Robert C Doerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C Doerr. 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 Robert C Doerr. The network helps show where Robert C Doerr may publish in the future.

Co-authors

The 23 scholars most cited alongside Robert C Doerr, 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 Robert C Doerr Line = papers co-authored together Robert C Doerr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967163
2 1956110
3 197273
4 197353
5 195652
6 197251
7 197246
8 197241
9 197738
10 196635
11 196129
12 197027
13 197726
14 197725
15 196525
16 198124
17 197024
18 196423
19
Interaction between sample preparation techniques and three methods of nitrite determination.
198218
20 195718

About Robert C Doerr

Robert C Doerr is a scholar working on Animal Science and Zoology, Biomedical Engineering, Health, Toxicology and Mutagenesis, Analytical Chemistry and Spectroscopy, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (14 papers), Meat and Animal Product Quality (11 papers), Water Treatment and Disinfection (5 papers), Pharmacological Effects and Assays (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Analytical Chemistry and Chromatography (3 papers), Catalytic Processes in Materials Science (3 papers) and Analytical Chemistry and Sensors (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (223 citations), Biochemistry (87 citations), Process Chemistry and Technology (35 citations), Animal Science and Zoology (109 citations) and Food Science (161 citations). Robert C Doerr has collaborated with scholars based in United States. Frequent co-authors include Walter Fiddler, Aaron E. Wasserman, John W. Pensabene, Edgar R. Stephens, William Errington Scott, A. E. Wasserman, Philip L. Hanst, Robert A. Baker, C. J. Dooley and Jay B. Fox. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Chromatography A, Analytical Chemistry, Journal of Food Science and Journal of AOAC International.

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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