H. M. J. Krans

1.5k total citations
42 papers, 1.2k citations indexed

About

H. M. J. Krans is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, H. M. J. Krans has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Endocrinology, Diabetes and Metabolism and 12 papers in Physiology. Recurrent topics in H. M. J. Krans's work include Metabolism, Diabetes, and Cancer (16 papers), Pancreatic function and diabetes (10 papers) and Adipose Tissue and Metabolism (8 papers). H. M. J. Krans is often cited by papers focused on Metabolism, Diabetes, and Cancer (16 papers), Pancreatic function and diabetes (10 papers) and Adipose Tissue and Metabolism (8 papers). H. M. J. Krans collaborates with scholars based in Netherlands, Germany and United States. H. M. J. Krans's co-authors include Jos P. M. van Putten, Michael A. Frölich, J.A. Gevers Leuven, J. A. Maassen, Cornelis Kluft, J.K. Radder, Hetty C. M. Sips, S.J. Koopmans, Ronald P. Stolk and A.J.P. Schrijvers and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Molecular and Cellular Biology.

In The Last Decade

H. M. J. Krans

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. M. J. Krans Netherlands 19 553 467 327 251 169 42 1.2k
S. M. Echwald Denmark 17 460 0.8× 432 0.9× 379 1.2× 346 1.4× 228 1.3× 18 1.1k
Mark Saekow United States 10 393 0.7× 388 0.8× 227 0.7× 438 1.7× 87 0.5× 12 974
M. A. Burnett United Kingdom 14 843 1.5× 509 1.1× 663 2.0× 239 1.0× 324 1.9× 21 1.4k
Melanie K. Shadoan United States 19 683 1.2× 586 1.3× 496 1.5× 225 0.9× 213 1.3× 27 1.5k
Ζ. Josefsberg Israel 16 712 1.3× 529 1.1× 364 1.1× 164 0.7× 278 1.6× 60 1.4k
Timo Kanninen Sweden 10 252 0.5× 389 0.8× 360 1.1× 439 1.7× 344 2.0× 11 1.1k
J. B. Field United States 19 398 0.7× 305 0.7× 185 0.6× 163 0.6× 124 0.7× 37 889
Klaus Levin Denmark 19 450 0.8× 679 1.5× 349 1.1× 469 1.9× 139 0.8× 31 1.5k
Adela Rovira Spain 18 332 0.6× 341 0.7× 201 0.6× 166 0.7× 97 0.6× 53 985
Frances Rife United States 7 471 0.9× 443 0.9× 199 0.6× 436 1.7× 70 0.4× 8 1.2k

Countries citing papers authored by H. M. J. Krans

Since Specialization
Citations

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

Fields of papers citing papers by H. M. J. Krans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. M. J. Krans. 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 H. M. J. Krans. The network helps show where H. M. J. Krans may publish in the future.

Co-authorship network of co-authors of H. M. J. Krans

This figure shows the co-authorship network connecting the top 25 collaborators of H. M. J. Krans. A scholar is included among the top collaborators of H. M. J. Krans 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 H. M. J. Krans. H. M. J. Krans 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.
Toeller, M., A. E. Buyken, G. Heitkamp, et al.. (2009). Associations of fat and cholesterol intake with serum lipid levels and cardiovascular disease: The EURODIAB IDDM Complications Study*. Experimental and Clinical Endocrinology & Diabetes. 107(8). 512–521. 13 indexed citations
2.
Leuven, J.A. Gevers, et al.. (1997). Short-term oestrogen replacement therapy improves insulin resistance, lipids and fibrinolysis in postmenopausal women with NIDDM. Diabetologia. 40(7). 843–849. 168 indexed citations
4.
Koopmans, S.J., J. A. Maassen, Hetty C. M. Sips, J.K. Radder, & H. M. J. Krans. (1995). Tissue-related changes in insulin receptor number and autophosphorylation induced by starvation and diabetes in rats. Metabolism. 44(3). 291–297. 6 indexed citations
5.
Gries, F. A., et al.. (1994). A Desktop Guide for the Management of Non‐insulin‐dependent Diabetes Mellitus (NIDDM): An Update. Diabetic Medicine. 11(9). 899–909. 72 indexed citations
6.
Berghe, N van den, et al.. (1994). Activation of the Ras/mitogen-activated protein kinase signaling pathway alone is not sufficient to induce glucose uptake in 3T3-L1 adipocytes.. Molecular and Cellular Biology. 14(4). 2372–2377. 60 indexed citations
7.
Vorm, Eric R. van der, et al.. (1994). A mutation in the insulin receptor that impairs proreceptor processing but not insulin binding.. Journal of Biological Chemistry. 269(19). 14297–14302. 22 indexed citations
8.
Krans, H. M. J.. (1993). Recent Clinical Experience With Aldose Reductase Inhibitors. Diabetic Medicine. 10(S2). 44S–48S. 8 indexed citations
9.
Loon, B.J. Potter van, et al.. (1992). Fluoxetine increases insulin action in obese nondiabetic and in obese non-insulin-dependent diabetic individuals.. PubMed. 16(2). 79–85. 52 indexed citations
10.
Koopmans, S.J., A.D.M. van Mansfeld, H.S. Jansz, et al.. (1991). Amylin-induced in vivo insulin resistance in conscious rats: the liver is more sensitive to amylin than peripheral tissues. Diabetologia. 34(4). 218–224. 81 indexed citations
11.
Koopmans, S.J., et al.. (1989). Antilipolytic Action of Insulin in Adipocytes from Starved and Diabetic Rats during Adenosine-Controlled Incubations*. Endocrinology. 125(6). 3044–3049. 20 indexed citations
12.
Loon, B.J. Potter van, Gerard C.M. van der Zon, W. Möller, et al.. (1989). Individuals with only one allele for a functional insulin receptor have a tendency to hyperinsulinaemia but not to hyperglycaemia. Diabetologia. 32(10). 740–744. 13 indexed citations
13.
Nijs, H. G. T., J.K. Radder, Michael A. Frölich, & H. M. J. Krans. (1988). Insulin action is normalized in newly diagnosed type I diabetic patients after three months of insulin treatment. Metabolism. 37(5). 473–478. 14 indexed citations
14.
Maassen, J. A., Gerard C.M. van der Zon, Hetty C. M. Sips, et al.. (1988). Fibroblasts from a leprechaun patient have defects in insulin binding and insulin receptor autophosphorvlation. Diabetologia. 31(8). 612–617. 21 indexed citations
15.
Maassen, J.A., H. M. J. Krans, & Winfried Möller. (1987). The effect of insulin, serum and dexamethasone on mRNA levels for the insulin receptor in the human lymphoblastoic cell line IM-9. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 930(1). 72–78. 17 indexed citations
16.
Radder, J.K., H. H. P. J. Lemkes, & H. M. J. Krans. (1986). Pathogenesis and Treatment of Diabetes Mellitus. 2 indexed citations
17.
Putten, Jos P. M. van & H. M. J. Krans. (1985). Glucose as a regulator of insulin-sensitive hexose uptake in 3T3 adipocytes.. Journal of Biological Chemistry. 260(13). 7996–8001. 78 indexed citations
18.
Putten, Jos P. M. van, et al.. (1981). Rapid phloretin-induced dephosphorylation of 2-deoxyglucose-6-phosphate in rat adipocytes. Biochemical and Biophysical Research Communications. 103(3). 841–847. 14 indexed citations
19.
Krans, H. M. J.. (1978). Glucagon: Its role in physiology and clinical medicine. Molecular and Cellular Endocrinology. 12(1). 119–120. 20 indexed citations
20.
Krans, H. M. J., et al.. (1978). Reduced glucose transport and increased binding of insulin in adipocytes from diabetic and fasted rats. Biochimica et Biophysica Acta (BBA) - General Subjects. 538(3). 563–570. 43 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