Meike de Wit

2.4k citations
43 papers · 1.2k · h-index 21

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Colorectal Cancer Screening and Detection
    • Colorectal Cancer Treatments and Studies

Papers in

Meike de Wit

39 papers receiving 1.2k citations

Peers

Meike de Wit
Comparison fields: 5 of 93
  • Cancer Research 295
  • Oncology 408
  • Pathology and Forensic Medicine 228
  • Spectroscopy 175
  • Molecular Biology 666
Replace Jeannine Geneix with:
Jeannine Geneix France
Matthew P. Stokes United States
Hiroyuki Nomura Japan
Jeou-Yuan Chen Taiwan
Brian C.‐S. Liu United States
Zhaoqing Tang China
Ayman Rahman United States
Guanhua Song China
Kevin M. Regan United States
Maurizio Callari Italy
Meike de Wit relative to Jeannine Geneix France Jeannine Geneix's profile →
Citations per field
00.5×4.6×
Jeannine Geneix · 1×
Citations per year

Countries citing papers authored by Meike de Wit

Since Specialization
Citations

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

Fields of papers citing papers by Meike de Wit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meike de Wit. 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 Meike de Wit. The network helps show where Meike de Wit may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011108
2 2014106
3 201388
4 201279
5
Expression of growth hormone in canine mammary tissue and mammary tumors. Evidence for a potential autocrine/paracrine stimulatory loop.
199778
6 201475
7 201369
8 201067
9 201056
10 201155
11 201242
12 201141
13 201539
14 201938
15 201337
16 201231
17 201229
18 201928
19 201727
20 202126

About Meike de Wit

Meike de Wit is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Oncology, Cancer Research and Spectroscopy, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (18 papers), Colorectal Cancer Screening and Detection (12 papers), Advanced Proteomics Techniques and Applications (8 papers), Cancer Genomics and Diagnostics (6 papers), Glycosylation and Glycoproteins Research (5 papers), RNA modifications and cancer (4 papers), Colorectal Cancer Treatments and Studies (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Cancer Research (295 citations), Oncology (408 citations), Pathology and Forensic Medicine (228 citations), Spectroscopy (175 citations) and Molecular Biology (666 citations). Meike de Wit has collaborated with scholars based in Netherlands, Sweden and Germany. Frequent co-authors include Gerrit A. Meijer, Connie R. Jiménez, Remond J.A. Fijneman, Beatriz Carvalho, Fredrik Pontén, Pien M. Delis‐van Diemen, Sander R. Piersma, Jeroen A.M. Beliën, Mark A. van de Wiel and Sandra Mongera. Their work appears in journals such as Cancer Research, The Journal of Pathology, Gastroenterology, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Gut.

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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