Nina E. de Groot

645 citations
12 papers · 331 · h-index 8

Impact in

Papers in

    • RNA Research and Splicing 4
    • RNA and protein synthesis mechanisms 3
    • RNA modifications and cancer 2
    • Digestive system and related health 3

Nina E. de Groot

12 papers receiving 330 citations

Peers

Nina E. de Groot
Comparison fields: 5 of 63
  • Cancer Research 115
  • Cardiology and Cardiovascular Medicine 77
  • Molecular Biology 219
  • Oncology 51
  • Aging 3
Replace Chen-Yun Chen with:
Chen-Yun Chen Taiwan
Zhengfu Fan China
Chujie Bai China
Sergey Alekseev Russia
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Danhua Zhu China
Lindsey J. Anstine United States
Xujing Lu China
Rita Carvalho Portugal
Nina E. de Groot relative to Chen-Yun Chen Taiwan Chen-Yun Chen's profile →
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Citations per year

Countries citing papers authored by Nina E. de Groot

Since Specialization
Citations

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

Fields of papers citing papers by Nina E. de Groot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina E. de Groot. 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 Nina E. de Groot. The network helps show where Nina E. de Groot may publish in the future.

Co-authors

The 25 scholars most cited alongside Nina E. de Groot, 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 Nina E. de Groot Line = papers co-authored together Nina E. de Groot links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2014146
2 201943
3 201640
4 201538
5 201820
6 201713
7 20209
8 20228
9 20224
10 20224
11 20204
12 20232

About Nina E. de Groot

Nina E. de Groot is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Oncology, having authored 12 papers that have together received 331 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Genetic factors in colorectal cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), Digestive system and related health (3 papers), RNA modifications and cancer (2 papers), Cancer Cells and Metastasis (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cancer Research (115 citations), Cardiology and Cardiovascular Medicine (77 citations), Molecular Biology (219 citations), Oncology (51 citations) and Aging (3 citations). Nina E. de Groot has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Ingeborg van der Made, Esther E. Creemers, Yigal M. Pinto, Maarten M.G. van den Hoogenhof, Jolanda van der Velden, Dirk J. Duncker, Anke J. Tijsen, Sergey Alekseev, Elza D. van Deel and Blanche Schroen. Their work appears in journals such as Scientific Reports, Cancer Cell International, Cellular and Molecular Gastroenterology and Hepatology, EMBO Molecular Medicine and Cardiovascular Research.

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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