Håkan Pertoft

6.0k citations
81 papers · 4.8k indexed · h-index 37

Impact in

  • Cell Biology top 0.5%
    • Proteoglycans and glycosaminoglycans research
  • Hepatology top 1%
    • Liver physiology and pathology

Papers in

    • Proteoglycans and glycosaminoglycans research 22
    • Liver physiology and pathology 10

Håkan Pertoft

81 papers receiving 4.5k citations

Peers

Håkan Pertoft
Comparison fields: 5 of 140
  • Cell Biology 1.4k
  • Hepatology 678
  • Immunology and Allergy 320
  • Reproductive Medicine 273
  • Immunology 583
Replace Wallace L. McKeehan with:
Wallace L. McKeehan United States
Peter Müller Germany
Ellson Y. Chen United States
Paul J. Higgins United States
Makoto Naito Japan
Simon W. Hayward United States
Bård Smedsrød Norway
Toshio Mori Japan
Hiroaki Kataoka Japan
Thorsten Cramer Germany
Håkan Pertoft relative to Wallace L. McKeehan United States Wallace L. McKeehan's profile →
Citations per field
00.5×1.5×
Wallace L. McKeehan · 1×
Citations per year

Countries citing papers authored by Håkan Pertoft

Since Specialization
Citations

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

Fields of papers citing papers by Håkan Pertoft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200155
2 2000168
3 19982
4 1997104
5 199754
6 199630
7 199657
8 199565
9 19937
10 1993101
11 199147
12 19919
13 19907
14 1990256
15 198719
16 198544
17 198013
18
Estimation of the parathyroid parenchymal cell mass by density gradients.
198018
19 197941
20 1978107

About Håkan Pertoft

Håkan Pertoft is a scholar working on Cell Biology, Hepatology, Immunology and Allergy, Nephrology and Reproductive Medicine, having authored 81 papers that have together received 4.8k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (22 papers), Glycosylation and Glycoproteins Research (11 papers), Liver physiology and pathology (10 papers), Fibroblast Growth Factor Research (7 papers), Reproductive Biology and Fertility (6 papers), Parathyroid Disorders and Treatments (6 papers), Sperm and Testicular Function (6 papers) and Cell Adhesion Molecules Research (6 papers). The work is most often cited by research in Cell Biology (1.4k citations), Hepatology (678 citations), Immunology and Allergy (320 citations), Reproductive Medicine (273 citations) and Immunology (583 citations). Håkan Pertoft has collaborated with scholars based in Sweden, Australia and Norway. Frequent co-authors include Bård Smedsrød, Torvard C. Laurent, J. R. E. Fraser, Paraskevi Heldin, Lena Kjellén, T.C. Laurent, E. D. Baxter, Stefan Gustafson, Magnus Höök and Per‐Eric Evrin. Their work appears in journals such as Experimental Cell Research, Biochemical Journal, Analytical Biochemistry, Journal of Biological Chemistry and Virology.

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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