Graham D. Pavitt

6.1k citations
65 papers · 4.6k indexed · h-index 38
    • RNA and protein synthesis mechanisms 49
    • RNA Research and Splicing 42
    • RNA regulation and disease 31
    • RNA modifications and cancer 11
    • Fungal and yeast genetics research 8
    • CRISPR and Genetic Engineering 5
    • Endoplasmic Reticulum Stress and Disease 6
  • Aging top 5%
  • Genetics top 2%
    • Bacterial Genetics and Biotechnology 7

Graham D. Pavitt

65 papers receiving 4.5k citations

Peers

Graham D. Pavitt
Comparison fields: 5 of 103
  • Molecular Biology 3.9k
  • Cell Biology 810
  • Endocrinology 213
  • Aging 49
  • Genetics 773
Replace Toshifumi Inada with:
Toshifumi Inada Japan
Rein Aasland Norway
N. Rao Movva Switzerland
Mirita Franz‐Wachtel Germany
Brendan N. Lilley United States
William Walter United States
Shinobu Imajoh‐Ohmi Japan
Jean D. Beggs United Kingdom
Gladys Mirey France
Huanting Liu United Kingdom
Graham D. Pavitt relative to Toshifumi Inada Japan Toshifumi Inada's profile →
Citations per field
00.5×1.5×
Toshifumi Inada · 1×
Citations per year

Countries citing papers authored by Graham D. Pavitt

Since Specialization
Citations

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

Fields of papers citing papers by Graham D. Pavitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 202310
3 20217
4 2019114
5 20184
6 201532
7 201146
8 201035
9 20094
10 200714
11 200673
12 200583
13 200495
14 200453
15 200216
16 200290
17 200087
18 1998215
19 1997113
20 1992263

About Graham D. Pavitt

Graham D. Pavitt is a scholar working on Molecular Biology, Molecular Medicine and Cell Biology, having authored 65 papers that have together received 4.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (49 papers), RNA Research and Splicing (42 papers), RNA regulation and disease (31 papers), RNA modifications and cancer (11 papers), Fungal and yeast genetics research (8 papers), Bacterial Genetics and Biotechnology (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Molecular Biology (3.9k citations), Cell Biology (810 citations) and Endocrinology (213 citations). Graham D. Pavitt has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Martin D. Jennings, William C. Merrick, Christopher F. Higgins, Alan G. Hinnebusch, C. S. J. Hulton, Jay C. D. Hinton, Mark Ashe, Simon J. Hubbard, Chris M. Grant and Tom Owen‐Hughes.

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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