Kjell Grankvist

12.5k total citations · 1 hit paper
198 papers, 6.8k citations indexed

About

Kjell Grankvist is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Kjell Grankvist has authored 198 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 54 papers in Oncology and 40 papers in Physiology. Recurrent topics in Kjell Grankvist's work include Clinical Laboratory Practices and Quality Control (34 papers), Renal cell carcinoma treatment (24 papers) and Cancer Risks and Factors (17 papers). Kjell Grankvist is often cited by papers focused on Clinical Laboratory Practices and Quality Control (34 papers), Renal cell carcinoma treatment (24 papers) and Cancer Risks and Factors (17 papers). Kjell Grankvist collaborates with scholars based in Sweden, Germany and United States. Kjell Grankvist's co-authors include Börje Ljungberg, Stefan L. Marklund, Roger Henriksson, Torgny Rasmuson, I.‐B. Täljedal, Barbro Linderholm, Björn Tavelin, Jan Jacobsen, Inge‐Bert Täljedal and Giuseppe Lippi and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Cancer.

In The Last Decade

Kjell Grankvist

198 papers receiving 6.5k citations

Hit Papers

CuZn-superoxide dismutase, Mn-superoxide dismutase, catal... 1981 2026 1996 2011 1981 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kjell Grankvist Sweden 42 2.6k 1.5k 1.4k 1.3k 1.3k 198 6.8k
George G. Klee United States 57 2.8k 1.1× 1.4k 0.9× 1.0k 0.8× 1.7k 1.3× 3.0k 2.4× 245 11.6k
Erik Christensen Denmark 54 1.8k 0.7× 643 0.4× 507 0.4× 855 0.7× 887 0.7× 162 11.5k
Kari Pulkki Finland 47 2.0k 0.8× 747 0.5× 424 0.3× 886 0.7× 491 0.4× 206 8.0k
Michael Laposata United States 46 1.7k 0.6× 1.2k 0.8× 169 0.1× 276 0.2× 914 0.7× 195 6.3k
Lance K. Heilbrun United States 51 2.1k 0.8× 600 0.4× 1.1k 0.8× 2.6k 2.0× 2.0k 1.6× 236 7.8k
Julie E. Buring United States 13 1.1k 0.4× 785 0.5× 444 0.3× 366 0.3× 531 0.4× 14 7.1k
Joseph P. McConnell United States 42 1.4k 0.5× 1.0k 0.7× 1.0k 0.7× 240 0.2× 583 0.5× 109 7.9k
Kathy J. Helzlsouer United States 58 2.6k 1.0× 712 0.5× 1.9k 1.4× 2.5k 1.9× 777 0.6× 156 9.9k
Jane E. Freedman United States 54 3.3k 1.3× 1.5k 1.0× 1.7k 1.2× 664 0.5× 636 0.5× 175 10.2k
Iain C. Macdougall United Kingdom 49 1.7k 0.6× 966 0.7× 1.3k 0.9× 715 0.5× 1.0k 0.8× 187 12.0k

Countries citing papers authored by Kjell Grankvist

Since Specialization
Citations

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

Fields of papers citing papers by Kjell Grankvist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kjell Grankvist

This figure shows the co-authorship network connecting the top 25 collaborators of Kjell Grankvist. A scholar is included among the top collaborators of Kjell Grankvist based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kjell Grankvist. Kjell Grankvist is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Svensson, Per‐Arne, Björn Zackrisson, Alexander Valdman, et al.. (2025). Association of Circulating Inflammatory Biomarker Levels and Toxicity in Patients Undergoing Pelvic Radiation for Cancer: A Critical Review. Advances in Radiation Oncology. 10(6). 101766–101766. 1 indexed citations
2.
Cornes, Michael P., et al.. (2018). Blood sampling guidelines with focus on patient safety and identification – a review. Diagnosis. 6(1). 33–37. 13 indexed citations
3.
Nybo, Mads, Janne Cadamuro, Michael P. Cornes, Rubén Gómez Rioja, & Kjell Grankvist. (2018). Sample transportation – an overview. Diagnosis. 6(1). 39–43. 22 indexed citations
4.
Grankvist, Kjell, et al.. (2018). Preanalytical aspects on short- and long-term storage of serum and plasma. Diagnosis. 6(1). 51–56. 19 indexed citations
5.
Andersson, Ulrika, Anna M. Dahlin, Hilde Langseth, et al.. (2016). Pre-diagnostic serum levels of EGFR and ErbB2 and genetic glioma risk variants: a nested case-control study. Tumor Biology. 37(8). 11065–11072. 7 indexed citations
6.
Fortner, Renée T., Helena Schöck, Rudolf Kaaks, et al.. (2016). Human Chorionic Gonadotropin Does Not Correlate with Risk for Maternal Breast Cancer: Results from the Finnish Maternity Cohort. Cancer Research. 77(1). 134–141. 7 indexed citations
7.
Cornes, Michael P., Edmée van Dongen-Lases, Kjell Grankvist, et al.. (2016). Order of blood draw: Opinion Paper by the European Federation for Clinical Chemistry and Laboratory Medicine (EFLM) Working Group for the Preanalytical Phase (WG-PRE). Clinical Chemistry and Laboratory Medicine (CCLM). 55(1). 27–31. 48 indexed citations
9.
Fortner, Renée T., Helena Schöck, Rudolf Kaaks, et al.. (2014). Early Pregnancy Sex Steroids and Maternal Breast Cancer: A Nested Case–Control Study. Cancer Research. 74(23). 6958–6967. 14 indexed citations
10.
Toriola, Adetunji T., Marja Vääräsmäki, Matti Lehtinen, et al.. (2011). Determinants of Maternal Sex Steroids During the First Half of Pregnancy. Obstetrics and Gynecology. 118(5). 1029–1036. 114 indexed citations
11.
Toriola, Adetunji T., Heljä‐Marja Surcel, Anika Hüsing, et al.. (2011). Association of serum 25-OHD concentrations with maternal sex-steroids and IGF-1 hormones during pregnancy. Europe PMC (PubMed Central). 3 indexed citations
12.
Toriola, Adetunji T., Heljä‐Marja Surcel, Calypse Agborsangaya, et al.. (2010). Independent and joint effects of serum 25-hydroxyvitamin D and calcium on ovarian cancer risk: A prospective nested case–control study. European Journal of Cancer. 46(15). 2799–2805. 37 indexed citations
13.
Sandlund, Johanna, Börje Ljungberg, Pernilla Wikström, et al.. (2009). Hypoxia-inducible factor-2α mRNA expression in human renal cell carcinoma. Acta Oncologica. 48(6). 909–914. 11 indexed citations
14.
Ljuslinder, Ingrid, Beatrice Malmer, Irina Golovleva, et al.. (2005). Increased copy number at 3p14 in breast cancer. Breast Cancer Research. 7(5). R719–27. 20 indexed citations
16.
Rasmuson, Torgny, Kjell Grankvist, & Börje Ljungberg. (1996). Serum β2-Microglobulin and Prognosis of Patients with Renal Cell Carcinoma. Acta Oncologica. 35(4). 479–482. 19 indexed citations
18.
Bergström, Per, Kjell Grankvist, S. E. Holm, & Roger Henriksson. (1991). Effects of antimicrobial drugs on the cytotoxicity of epirubicin, bleomycin, estramustine and cisplatin.. PubMed. 11(3). 1039–43. 6 indexed citations
19.
Schoultz, E. von, Tommy Bergenheim, Kjell Grankvist, & Roger Henriksson. (1991). Estramustine binding protein in human brain-tumor tissue. Journal of neurosurgery. 74(6). 962–964. 27 indexed citations
20.
Grankvist, Kjell, et al.. (1990). Human chorionic gonadotropin, follicle-stimulating hormone, and luteinizing hormone in patients with epithelial ovarian carcinoma. Gynecologic Oncology. 36(2). 219–225. 13 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026