Tom Krusius

6.1k total citations
91 papers, 4.6k citations indexed

About

Tom Krusius is a scholar working on Molecular Biology, Organic Chemistry and Cell Biology. According to data from OpenAlex, Tom Krusius has authored 91 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 25 papers in Organic Chemistry and 19 papers in Cell Biology. Recurrent topics in Tom Krusius's work include Glycosylation and Glycoproteins Research (36 papers), Carbohydrate Chemistry and Synthesis (25 papers) and Proteoglycans and glycosaminoglycans research (17 papers). Tom Krusius is often cited by papers focused on Glycosylation and Glycoproteins Research (36 papers), Carbohydrate Chemistry and Synthesis (25 papers) and Proteoglycans and glycosaminoglycans research (17 papers). Tom Krusius collaborates with scholars based in Finland, United States and United Kingdom. Tom Krusius's co-authors include Jukka Finne, Erkki Ruoslahti, Heikki Rauvala, Erkki Ruoslahti, Renée K. Margolis, R. U. Margolis, Elina Kolho, R. Naukkarinen, Kurt R. Gehlsen and E. A. C. Follett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and American Journal of Clinical Nutrition.

In The Last Decade

Tom Krusius

90 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Krusius Finland 36 2.5k 1.3k 803 609 551 91 4.6k
Toshihiko Terao Japan 43 1.6k 0.7× 637 0.5× 141 0.2× 689 1.1× 468 0.8× 220 5.8k
Tsutomu Tsuji Japan 37 2.4k 1.0× 691 0.5× 519 0.6× 204 0.3× 991 1.8× 168 4.9k
Risto Renkonen Finland 38 2.5k 1.0× 336 0.3× 372 0.5× 306 0.5× 1.4k 2.6× 195 5.2k
Yasuhiko Nishioka Japan 41 2.7k 1.1× 275 0.2× 130 0.2× 522 0.9× 186 0.3× 239 6.4k
Rami Hershkoviz Israel 35 1.2k 0.5× 584 0.4× 65 0.1× 280 0.5× 819 1.5× 98 3.9k
Anthony P. Albino United States 48 3.4k 1.4× 689 0.5× 112 0.1× 464 0.8× 576 1.0× 115 6.6k
John M. Clements United Kingdom 35 1.8k 0.7× 240 0.2× 128 0.2× 461 0.8× 998 1.8× 55 5.0k
Kuldeep Neote Canada 28 1.1k 0.4× 233 0.2× 228 0.3× 630 1.0× 489 0.9× 42 4.4k
Timothy S. Bringman United States 18 2.9k 1.2× 386 0.3× 49 0.1× 413 0.7× 450 0.8× 24 6.3k
Shuji Nakamura Japan 38 1.4k 0.5× 139 0.1× 137 0.2× 647 1.1× 202 0.4× 139 5.0k

Countries citing papers authored by Tom Krusius

Since Specialization
Citations

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

Fields of papers citing papers by Tom Krusius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Krusius

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Krusius. A scholar is included among the top collaborators of Tom Krusius 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 Tom Krusius. Tom Krusius 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.
Hiltunen, Leena, Hannele Laivuori, Anna Rautanen, et al.. (2010). Factor V Leiden as a risk factor for preterm birth – a population‐based nested case–control study. Journal of Thrombosis and Haemostasis. 9(1). 71–78. 23 indexed citations
2.
Middelburg, Rutger A., Daniëlle Van Stein, B Zupańska, et al.. (2010). Female donors and transfusion‐related acute lung injury. Transfusion. 50(11). 2447–2454. 44 indexed citations
3.
Hiltunen, Leena, Hannele Laivuori, Anna Rautanen, et al.. (2009). Factor V Leiden as risk factor for unexplained stillbirth – a population-based nested case-control study. Thrombosis Research. 125(6). 505–510. 13 indexed citations
4.
Hiltunen, Leena, Hannele Laivuori, Anna Rautanen, et al.. (2008). Blood group AB and factor V Leiden as risk factors for pre-eclampsia: A population-based nested case-control study. Thrombosis Research. 124(2). 167–173. 52 indexed citations
5.
Ahonen, J, et al.. (2007). Transfusion of red blood cells: no impact on length of hospital stay in moderately anaemic parturients. Acta Anaesthesiologica Scandinavica. 51(5). 565–569. 8 indexed citations
6.
Hovilehto, Seppo, M. Koivuranta, Tom Krusius, et al.. (2006). Population‐based audit of fresh‐frozen plasma transfusion practices. Transfusion. 46(11). 1921–1925. 33 indexed citations
7.
Hannila‐Handelberg, Tuula, Kimmo Kontula, Ilkka Tikkanen, et al.. (2005). Common variants of the beta and gamma subunits of the epithelial sodium channel and their relation to plasma renin and aldosterone levels in essential hypertension. BMC Medical Genetics. 6(1). 4–4. 53 indexed citations
8.
Levo, Antti, Elina Vahtera, Vesa Rasi, et al.. (2005). Genetic background of type I protein C deficiency in Finland. Thrombosis Research. 118(5). 603–609. 5 indexed citations
9.
Kanerva, Jukka, Maarit Tiirikainen, Anne Mäkipernaa, et al.. (2001). INITIAL P-GLYCOPROTEIN EXPRESSION IN CHILDHOOD ACUTE LYMPHOBLASTIC LEUKEMIA: NO EVIDENCE OF PROGNOSTIC IMPACT IN FOLLOW-UP. Pediatric Hematology and Oncology. 18(1). 27–36. 21 indexed citations
10.
Rissanen, P, Elina Vahtera, Tom Krusius, Matti Uusitupa, & A Rissanen. (2001). Weight change and blood coagulability and fibrinolysis in healthy obese women. International Journal of Obesity. 25(2). 212–218. 45 indexed citations
11.
12.
Virtanen, Martti, Raija Anttila, Tom Krusius, et al.. (1999). Higher concentrations of serum transferrin receptor in children than in adults. American Journal of Clinical Nutrition. 69(2). 256–260. 59 indexed citations
13.
Hirn, Martti & Tom Krusius. (1998). Retesting of bone donors 2 months after donation guarantees sufficient safety of bone allografts. Acta Orthopaedica Scandinavica. 69(6). 566–569. 6 indexed citations
14.
Kanerva, Jukka, Maarit Tiirikainen, Anne Mäkipernaa, et al.. (1998). Multiple Drug Resistance Mediated by P-Glycoprotein is not a Major Factor in a Slow Response to Therapy in Childhood All. Pediatric Hematology and Oncology. 15(1). 11–21. 22 indexed citations
15.
Niskanen, Leo, Ursula Schwab, Essi Sarkkinen, et al.. (1997). Effects of dietary fat modification on fibrinogen, factor VII, and plasminogen activator inhibitor-1 activity in subjects with impaired glucose tolerance. Metabolism. 46(6). 666–672. 16 indexed citations
16.
Kolho, Elina, Martti Färkkilâ, J. Mäkinen, et al.. (1994). Clinical significance of hepatitis C antibodies in blood donors. Journal of Medical Virology. 43(2). 129–134. 6 indexed citations
17.
Tiirikainen, Maarit, Martti Syrjälä, S.‐E. Jansson, & Tom Krusius. (1992). Flow cytometric analysis of P-glycoprotein in normal and leukemic cells. Annals of Hematology. 65(3). 124–130. 11 indexed citations
18.
Kolho, Elina & Tom Krusius. (1992). Risk Factors for Hepatitis C Virus Antibody Positivity in Blood Donors in a Low‐Risk Country. Vox Sanguinis. 63(3). 192–197. 11 indexed citations
19.
Tiirikainen, Maarit & Tom Krusius. (1991). Multidrug Resistance. Annals of Medicine. 23(5). 509–520. 15 indexed citations
20.
Syrjälä, Martti, et al.. (1991). Determination of anti-IgA antibodies with a flow cytometer-based microbead immunoassay (MIA). Journal of Immunological Methods. 139(2). 265–270. 8 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.

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