A.M. Gerrits

986 citations
30 papers · 713 · h-index 12

Impact in

Papers in

A.M. Gerrits

30 papers receiving 697 citations

Peers

A.M. Gerrits
Comparison fields: 5 of 79
  • Condensed Matter Physics 157
  • Cancer Research 121
  • Hematology 91
  • Genetics 175
  • Aging 10
Replace Yankun Gao with:
Yankun Gao China
Takehiro Nomura Japan
Pierre‐Olivier Mari France
David Benjamin United States
Juraj Kokavec Slovakia
Masahiro Kitano Japan
Meiling Wu Taiwan
Sylvain Tollis Finland
Ekaterina L. Grishchuk United States
Elinore M. Mercer United States
A.M. Gerrits relative to Yankun Gao China Yankun Gao's profile →
Citations per field
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Citations per year

Countries citing papers authored by A.M. Gerrits

Since Specialization
Citations

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

Fields of papers citing papers by A.M. Gerrits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A.M. Gerrits, 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 A.M. Gerrits Line = papers co-authored together A.M. Gerrits links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010191
2 2008142
3 201174
4 200966
5 199545
6 200732
7 199023
8 199418
9 199113
10 199012
11 199512
12 199411
13 20069
14 19929
15 19908
16 20087
17 20207
18 19956
19 19956
20
Automatic milking system, a source for novel phenotypes as base for new genetic selection tools
20184

About A.M. Gerrits

A.M. Gerrits is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Molecular Biology and Genetics, having authored 30 papers that have together received 713 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (13 papers), Advanced Condensed Matter Physics (6 papers), Magnetic properties of thin films (4 papers), Quantum and electron transport phenomena (4 papers), Magnetic and transport properties of perovskites and related materials (4 papers), Epigenetics and DNA Methylation (3 papers), Superconductivity in MgB2 and Alloys (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Condensed Matter Physics (157 citations), Cancer Research (121 citations), Hematology (91 citations), Genetics (175 citations) and Aging (10 citations). A.M. Gerrits has collaborated with scholars based in Netherlands, United States and Finland. Frequent co-authors include Gerald de Haan, Leonid Bystrykh, Brad Dykstra, Evgenia Verovskaya, Mathilde Broekhuis, Karin Klauke, Rainer Breitling, Ritsert C. Jansen, Bruno Tesson and Yang Li. Their work appears in journals such as Physical review. B, Condensed matter, Physica C Superconductivity, Applied Physics Letters, Blood and PLoS Genetics.

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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