Henk F. Tabak

10.2k citations
105 papers · 8.2k indexed · 1 hit paper · h-index 54
    • Peroxisome Proliferator-Activated Receptors 54
    • RNA Research and Splicing 48
    • RNA and protein synthesis mechanisms 35
    • RNA modifications and cancer 32
    • Fungal and yeast genetics research 14
    • Metabolism, Diabetes, and Cancer 13
    • Mitochondrial Function and Pathology 12
    • Metabolism and Genetic Disorders 11
  • Biochemistry top 0.5%
  • Physiology top 5%

Henk F. Tabak

104 papers receiving 7.9k citations

Hit Papers

Structural conventions for group I introns261198720262000201350100150200250

Peers

Henk F. Tabak
Comparison fields: 5 of 118
  • Molecular Biology 7.6k
  • Clinical Biochemistry 618
  • Biochemistry 597
  • Cell Biology 590
  • Physiology 92
Replace M J Runswick with:
M J Runswick United Kingdom
Christoph Eckerskorn Germany
Nicholas J. Hoogenraad Australia
Tim Clausen Austria
Gert Kreibich United States
A L Hubbard United States
Philip Coffino United States
Michael G. Douglas United States
Takashi Tatsuta Germany
Irving M. London United States
Henk F. Tabak relative to M J Runswick United Kingdom M J Runswick's profile →
Citations per field
00.5×1.5×1.8×
M J Runswick · 1×
Citations per year

Countries citing papers authored by Henk F. Tabak

Since Specialization
Citations

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

Fields of papers citing papers by Henk F. Tabak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henk F. Tabak. 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 Henk F. Tabak. The network helps show where Henk F. Tabak may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200848
2 2006131
3 2005374
4 2003108
5 2003148
6 200299
7 2002108
8 2001264
9 200094
10 1999116
11 1999299
12 199611
13
Functions and biogenesis of peroxisomes in relation to human disease
19957
14 199382
15 19933
16 19925
17 199069
18 198837
19 19875
20
Structural conventions for group I intronsbreakdown →
1987261

About Henk F. Tabak

Henk F. Tabak is a scholar working on Clinical Biochemistry, Molecular Biology and Biochemistry, having authored 105 papers that have together received 8.2k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (54 papers), RNA Research and Splicing (48 papers), RNA and protein synthesis mechanisms (35 papers), RNA modifications and cancer (32 papers), Fungal and yeast genetics research (14 papers), Metabolism, Diabetes, and Cancer (13 papers), Mitochondrial Function and Pathology (12 papers) and Metabolism and Genetic Disorders (11 papers). The work is most often cited by research in Molecular Biology (7.6k citations), Clinical Biochemistry (618 citations) and Biochemistry (597 citations). Henk F. Tabak has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Ben Distel, Ewald H. Hettema, Marlene van den Berg, Ineke Braakman, Ype Elgersma, Ronald J. A. Wanders, Gerda Horst, Adabella van der Zand, Dominic Hoepfner and C W van Roermund. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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