Robert M Flight

1.2k citations
41 papers · 756 · h-index 15

Impact in

Papers in

    • Gene expression and cancer classification 7
    • Metabolomics and Mass Spectrometry Studies 6
    • RNA and protein synthesis mechanisms 5
    • Bioinformatics and Genomic Networks 4
    • RNA Research and Splicing 3
    • Machine Learning in Bioinformatics 3
    • Molecular Biology Techniques and Applications 3
    • Cancer Genomics and Diagnostics 3

Robert M Flight

40 papers receiving 740 citations

Peers

Robert M Flight
Comparison fields: 5 of 110
  • Aquatic Science 78
  • Cancer Research 138
  • Physiology 33
  • Health, Toxicology and Mutagenesis 81
  • Molecular Biology 352
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Citations per field
00.5×1.5×2.4×
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Citations per year

Countries citing papers authored by Robert M Flight

Since Specialization
Citations

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

Fields of papers citing papers by Robert M Flight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009128
2 2018102
3 201558
4 200953
5 201044
6 202236
7 200830
8 201327
9 202024
10 201423
11 201521
12 202320
13 200919
14 202116
15 201315
16 200713
17 201011
18 202110
19 201810
20 201910

About Robert M Flight

Robert M Flight is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Immunology, having authored 41 papers that have together received 756 indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), RNA and protein synthesis mechanisms (5 papers), Bioinformatics and Genomic Networks (4 papers), RNA Research and Splicing (3 papers), Machine Learning in Bioinformatics (3 papers), Cancer Genomics and Diagnostics (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Aquatic Science (78 citations), Cancer Research (138 citations), Physiology (33 citations), Health, Toxicology and Mutagenesis (81 citations) and Molecular Biology (352 citations). Robert M Flight has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Hunter Moseley, Peter D. Wentzell, Eric C. Rouchka, Susan E. Douglas, Romá Tauler, Philip K. Hopke, Xavier Querol, Mar Viana, Andrés Alástuey and Tobias K. Karakach. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, Proteins Structure Function and Bioinformatics, Frontiers in Genetics and Nature Communications.

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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