Anke van den Berg

23.8k citations
345 papers · 17.9k · 2 hit papers · h-index 58

Impact in

Papers in

Anke van den Berg

329 papers receiving 17.4k citations

Anke van den Berg's Hit Papers

BIC and miR‐155 are highly expressed in Hodgkin, primary mediastinal and diffuse large B cell lymphomas 2005 · 583 citations
5830+8+16Years since publication2.0k4.0k6.0k

Peers

Anke van den Berg
Comparison fields: 5 of 166
  • Cancer Research 4.3k
  • Pathology and Forensic Medicine 4.0k
  • Oncology 4.7k
  • Genetics 1.4k
  • Immunology 2.6k
Replace Claudio Doglioni with:
Claudio Doglioni Italy
Masashi Fukayama Japan
Francesco Bertoni Switzerland
Noel Weidner United States
Felix Mitelman Sweden
Lalage M. Wakefield United States
Giovanni Tallini Italy
Olivier Delattre France
Yoshinao Oda Japan
Allen M. Gown United States
Anke van den Berg relative to Claudio Doglioni Italy Claudio Doglioni's profile →
Citations per field
00.5×1.5×
Claudio Doglioni · 1×
Citations per year

Countries citing papers authored by Anke van den Berg

Since Specialization
Citations

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

Fields of papers citing papers by Anke van den Berg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anke van den Berg. 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 Anke van den Berg. The network helps show where Anke van den Berg may publish in the future.

Co-authors

The 25 scholars most cited alongside Anke van den Berg, 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 Anke van den Berg Line = papers co-authored together Anke van den Berg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 345 papers — load more, or switch the sort, to bring in the rest.

#Work
1
World Health Organization Classification of Tumours
Hit paper breakdown →
20026004
2
BIC and miR‐155 are highly expressed in Hodgkin, primary mediastinal and diffuse large B cell lymphomas
Hit paper breakdown →
2005583
3 1994319
4 1999315
5 2006254
6 2010227
7 2003207
8 2005195
9 2009193
10 2012191
11 2010184
12 2016148
13 2014141
14 1993140
15 2016138
16 1996138
17 2002131
18 2005129
19 2009124
20 2016119

About Anke van den Berg

Anke van den Berg is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cancer Research, Oncology and Immunology, having authored 345 papers that have together received 17.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (107 papers), Immune Cell Function and Interaction (49 papers), Viral-associated cancers and disorders (38 papers), Cancer-related molecular mechanisms research (36 papers), MicroRNA in disease regulation (35 papers), RNA modifications and cancer (30 papers), Cancer Genomics and Diagnostics (27 papers) and Renal and related cancers (26 papers). The work is most often cited by research in Cancer Research (4.3k citations), Pathology and Forensic Medicine (4.0k citations), Oncology (4.7k citations), Genetics (1.4k citations) and Immunology (2.6k citations). Anke van den Berg has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include CDM Fletcher, Ineke Molenaar, Sibrand Poppema, Joost Kluiver, Arjan Diepstra, Bart‐Jan Kroesen, Lydia Visser, S Poppema, Debora de Jong and Tjasso Blokzijl. Their work appears in journals such as Blood, PLoS ONE, Cancers, Genes Chromosomes and Cancer and The Journal of Pathology.

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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