M. Smit

1.4k citations
16 papers · 1.2k · h-index 13

Impact in

Papers in

    • RNA and protein synthesis mechanisms 4
    • Peroxisome Proliferator-Activated Receptors 2
    • Lipoproteins and Cardiovascular Health 7

M. Smit

16 papers receiving 1.1k citations

Peers

M. Smit
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 286
  • Genetics 309
  • Molecular Biology 635
  • Cancer Research 112
  • Surgery 292
Replace Song‐iee Han with:
Song‐iee Han Japan
Malthi Masurekar United States
Steven Ringquist United States
Mehul Vora United States
Walid G. Yasmineh United States
Donna M. Lehman United States
Teresa Brandt United States
Mark F. Foecking United States
Olivier Sand Belgium
Noaman Hasan United States
M. Smit relative to Song‐iee Han Japan Song‐iee Han's profile →
Citations per field
00.5×1.6×
Song‐iee Han · 1×
Citations per year

Countries citing papers authored by M. Smit

Since Specialization
Citations

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

Fields of papers citing papers by M. Smit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1990445
2 1987245
3 1988114
4 199062
5 198859
6 199045
7 198535
8 199733
9 198729
10 198827
11 198727
12 200820
13 200215
14 198811
15 19888
16 19891

About M. Smit

M. Smit is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Genetics and Cancer Research, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), RNA and protein synthesis mechanisms (4 papers), Plant Virus Research Studies (3 papers), Bacteriophages and microbial interactions (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (286 citations), Genetics (309 citations), Molecular Biology (635 citations), Cancer Research (112 citations) and Surgery (292 citations). M. Smit has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Jan van Duin, Louis M. Havekes, E.C. Klasen, Peter de Knijff, Ulrike Beisiegel†, Rune R. Frants, J Bury, Maryvonne Rosseneu, Malti R. Adhin and Е. Skripkin. Their work appears in journals such as Human Genetics, Journal of Lipid Research, Human Heredity, Journal of Molecular Biology and Current topics in microbiology and immunology.

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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