Robert D. Mitchell

26 papers receiving 1k citations

Peers

Robert D. Mitchell
Comparison fields: 5 of 61
  • Parasitology 389
  • Cellular and Molecular Neuroscience 193
  • Insect Science 108
  • Physiology 39
  • Genetics 211
Replace Sayed M. S. Khalil with:
Sayed M. S. Khalil United States
Jiwei Zhu United States
Marílvia Dansa‐Petretski Brazil
Glória Regina Cardoso Braz Brazil
DeMar Taylor Japan
Marten J. Edwards United States
Monika Gulia-Nuss United States
Kevin V. Donohue United States
Rafael Dias Mesquita Brazil
Marcelo Ramalho-Ortigão United States
Robert D. Mitchell relative to Sayed M. S. Khalil United States Sayed M. S. Khalil's profile →
Citations per field
00.5×1.5×
Sayed M. S. Khalil · 1×
Citations per year

Countries citing papers authored by Robert D. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Robert D. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014323
2 200772
3 200766
4 202062
5 200554
6 201752
7 200550
8 201946
9 201043
10 200840
11 201631
12 201730
13 201921
14 200918
15 201916
16 202015
17 202115
18 202114
19 201713
20 201610

About Robert D. Mitchell

Robert D. Mitchell is a scholar working on Parasitology, Cellular and Molecular Neuroscience, Cancer Research, Plant Science and Health, Toxicology and Mutagenesis, having authored 26 papers that have together received 1k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (17 papers), Neurobiology and Insect Physiology Research (6 papers), Pesticide Exposure and Toxicity (3 papers), Insect Pest Control Strategies (2 papers), Insect Resistance and Genetics (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Invertebrate Immune Response Mechanisms (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Parasitology (389 citations), Cellular and Molecular Neuroscience (193 citations), Insect Science (108 citations), Physiology (39 citations) and Genetics (211 citations). Robert D. Mitchell has collaborated with scholars based in United States, Pakistan and Germany. Frequent co-authors include Daniel E. Sonenshine, Richard Michael Roe, Sayed M. S. Khalil, Adalberto Á. Pérez de León, Deborah Marin Thompson, Kevin V. Donohue, Christopher J. Osgood, David W. Watson, Brooke W. Bissinger and Shane M. Ceraul. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Insect Physiology, Insects, Insect Biochemistry and Molecular Biology and Ticks and Tick-borne Diseases.

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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