M.J. Kroos

33 papers receiving 507 citations

Peers

M.J. Kroos
Comparison fields: 5 of 75
  • Hematology 221
  • Genetics 148
  • Nutrition and Dietetics 130
  • Reproductive Medicine 57
  • Obstetrics and Gynecology 49
Replace Maria Karvela with:
Maria Karvela United Kingdom
Ashis Mukhopadhyay India
J E Saffitz United States
W.L. van Noort Netherlands
Robert J Markelewicz United States
C. Van Der Heul Netherlands
Jose C. Juarez United States
Esteban E. Sierra United States
Kimmo K. Vihko Finland
B. Surendra Baliga United States
M.J. Kroos relative to Maria Karvela United Kingdom Maria Karvela's profile →
Citations per field
00.5×8.7×
Maria Karvela · 1×
Citations per year

Countries citing papers authored by M.J. Kroos

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Kroos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside M.J. Kroos, 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 M.J. Kroos Line = papers co-authored together M.J. Kroos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197855
2 198749
3 198536
4 199535
5 197832
6 198232
7 198521
8 198720
9 198120
10 198719
11 199016
12 197816
13 199515
14 199615
15 198014
16
Number and affinity of transferrin-receptors at the placental microvillous plasma membrane of the guinea pig: influence of gestational age and degree of transferrin glycan chain complexity.
199314
17
Transferrin in cultured human term cytotrophoblast cells: synthesis and heterogeneity.
199713
18 199912
19 198412
20 198611

About M.J. Kroos

M.J. Kroos is a scholar working on Hematology, Genetics, Molecular Biology, Physiology and Cell Biology, having authored 33 papers that have together received 533 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (21 papers), Hemoglobinopathies and Related Disorders (16 papers), Erythrocyte Function and Pathophysiology (7 papers), Trace Elements in Health (5 papers), Hemoglobin structure and function (4 papers), Pregnancy and preeclampsia studies (4 papers), Neonatal Health and Biochemistry (3 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Hematology (221 citations), Genetics (148 citations), Nutrition and Dietetics (130 citations), Reproductive Medicine (57 citations) and Obstetrics and Gynecology (49 citations). M.J. Kroos has collaborated with scholars based in Netherlands and United Kingdom. Frequent co-authors include H.G. van Eijk, C. Van Der Heul, W.L. van Noort, J.P. van Dijk, J.F. Koster, Henk C.S. Wallenburg, A. Veldman, J. Anton Grootegoed, Conny Dekker and Ann C.T.M. Vossen. Their work appears in journals such as European Journal of Obstetrics & Gynecology and Reproductive Biology, Clinica Chimica Acta, Placenta, British Journal of Haematology and Clinical Chemistry and Laboratory Medicine (CCLM).

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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