Tim Massingham

8.1k citations
19 papers · 735 · h-index 14

Impact in

  • Paleontology top 10%
    • Evolution and Paleontology Studies
  • Genetics top 10%
    • Genetic diversity and population structure
    • Evolution and Genetic Dynamics

Papers in

    • Genomics and Phylogenetic Studies 11
    • RNA and protein synthesis mechanisms 4
    • Epigenetics and DNA Methylation 1
    • Genetic diversity and population structure 6

Tim Massingham

19 papers receiving 687 citations

Peers

Tim Massingham
Comparison fields: 5 of 83
  • Paleontology 89
  • Genetics 214
  • Molecular Biology 524
  • Ecology, Evolution, Behavior and Systematics 54
  • Cancer Research 27
Replace Adrian Schneider with:
Adrian Schneider Switzerland
Von Bing Yap Singapore
Cuong Cao Dang Vietnam
Qiqing Tao United States
Miklós Csürös Canada
Khalid Belkhir France
Rachel S. Schwartz United States
Étienne Kornobis France
S Pirro United States
Joana Damas United States
Tim Massingham relative to Adrian Schneider Switzerland Adrian Schneider's profile →
Citations per field
00.5×2.6×
Adrian Schneider · 1×
Citations per year

Countries citing papers authored by Tim Massingham

Since Specialization
Citations

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

Fields of papers citing papers by Tim Massingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Massingham. 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 Tim Massingham. The network helps show where Tim Massingham may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2005175
2 2009167
3 200758
4 201745
5 201142
6 200139
7 200534
8 201230
9 200927
10 200619
11 200017
12 200717
13 200715
14 201214
15 201012
16 20129
17 20128
18 20125
19 20082

About Tim Massingham

Tim Massingham is a scholar working on Molecular Biology, Genetics, Plant Science, Paleontology and Signal Processing, having authored 19 papers that have together received 735 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Genetic diversity and population structure (6 papers), RNA and protein synthesis mechanisms (4 papers), Chromosomal and Genetic Variations (2 papers), Music and Audio Processing (2 papers), Evolution and Paleontology Studies (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Paleontology (89 citations), Genetics (214 citations), Molecular Biology (524 citations), Ecology, Evolution, Behavior and Systematics (54 citations) and Cancer Research (27 citations). Tim Massingham has collaborated with scholars based in United Kingdom, Spain and Israel. Frequent co-authors include Nick Goldman, Benny Chor, Yaron Y. Levy, D. Horn, Seraina Klopfstein, Botond Sipos, Laura Davies, Píetro Lió, Koen Geuten and Erik Smets. Their work appears in journals such as Systematic Biology, Genome biology, Bioinformatics, BMC Bioinformatics and BioEssays.

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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