Dave Speijer

6.2k citations
105 papers · 4.6k indexed · h-index 35

Impact in

Papers in

    • HIV Research and Treatment 9
    • Mitochondrial Function and Pathology 22
    • Genomics and Phylogenetic Studies 14
    • RNA and protein synthesis mechanisms 12
    • Photosynthetic Processes and Mechanisms 11
    • Protist diversity and phylogeny 11

Dave Speijer

102 papers receiving 4.5k citations

Peers

Dave Speijer
Comparison fields: 5 of 134
  • Virology 189
  • Insect Science 469
  • Molecular Biology 2.6k
  • Cell Biology 586
  • Clinical Biochemistry 206
Replace Thomas G. Wood with:
Thomas G. Wood United States
Ramneek Gupta Denmark
Ryan H. Moy United States
Jeffrey K. Pullen United States
Zahra Zakeri United States
Tom Sargent United States
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Annette Michalski Germany
Susumu Kawamoto Japan
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Dave Speijer relative to Thomas G. Wood United States Thomas G. Wood's profile →
Citations per field
00.5×3.2×
Thomas G. Wood · 1×
Citations per year

Countries citing papers authored by Dave Speijer

Since Specialization
Citations

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

Fields of papers citing papers by Dave Speijer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 202425
4 20235
5 202317
6 202313
7 202212
8 202041
9 201534
10 201510
11 201511
12 201334
13 201125
14 20093
15 200732
16 2007249
17 2007249
18 2002174
19 19998
20 19975

About Dave Speijer

Dave Speijer is a scholar working on Virology, Molecular Biology, Clinical Biochemistry, Microbiology and Parasitology, having authored 105 papers that have together received 4.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (22 papers), Genomics and Phylogenetic Studies (14 papers), RNA and protein synthesis mechanisms (12 papers), Photosynthetic Processes and Mechanisms (11 papers), Protist diversity and phylogeny (11 papers), Trypanosoma species research and implications (10 papers), HIV Research and Treatment (9 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Virology (189 citations), Insect Science (469 citations), Molecular Biology (2.6k citations), Cell Biology (586 citations) and Clinical Biochemistry (206 citations). Dave Speijer has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Johannes M. F. G. Aerts, Julius Lukeš, Rolf G. Boot, Chris G. de Koster, Lukas Dekker, Sebastian A. J. Zaat, Anton P. Bussink, Paulus H. S. Kwakman, Christina M. J. E. Vandenbroucke‐Grauls and Leonie de Boer. Their work appears in journals such as BioEssays, Journal of Biological Chemistry, European Journal of Biochemistry, Blood and Philosophical Transactions of the Royal Society B Biological Sciences.

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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