B. G. Taal

1.0k citations
7 papers · 827 · 1 hit paper · h-index 5

Impact in

Papers in

B. G. Taal

7 papers receiving 784 citations

B. G. Taal's Hit Papers

Cancer risk in families with hereditary nonpolyposis colorectal cancer diagnosed by mutation analysis 1996 · 660 citations
6600+10+20Years since publication200400600

Peers

B. G. Taal
Comparison fields: 5 of 34
  • Pathology and Forensic Medicine 640
  • Oncology 378
  • Cancer Research 130
  • Gastroenterology 42
  • Genetics 123
Replace Florencia Neffa with:
Florencia Neffa Norway
F.M. Nagengast Netherlands
Jacqueline Jeffries United Kingdom
Jane Lynch United States
Pablo German Kalfayan Norway
J. O. Søndergaard Denmark
Järvinen Hj Finland
Francisco López‐Köstner Chile
Isabel Alvarado Mexico
Mary F. Bridge United States
B. G. Taal relative to Florencia Neffa Norway Florencia Neffa's profile →
Citations per field
00.5×2×3×4.2×
Florencia Neffa · 1×
Citations per year

Countries citing papers authored by B. G. Taal

Since Specialization
Citations

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

Fields of papers citing papers by B. G. Taal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. G. Taal. 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 B. G. Taal. The network helps show where B. G. Taal may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Cancer risk in families with hereditary nonpolyposis colorectal cancer diagnosed by mutation analysis
Hit paper breakdown →
1996660
2 1997116
3 199421
4
Cancer risk in families with hereditary nonpolyposis colorectal cancer diagnosed by mutation analysis (vol 110, pg 1020, 1996)
199617
5 19906
6
t(11;18) is a marker for all stage gastric MALT lymphomas that will not respond to H-pylori eradication.
20015
7 20012

About B. G. Taal

B. G. Taal is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Gastroenterology, Biotechnology and Oncology, having authored 7 papers that have together received 827 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (3 papers), Genetic factors in colorectal cancer (3 papers), Metastasis and carcinoma case studies (2 papers), Cancer Diagnosis and Treatment (1 paper), Cancer Research and Treatments (1 paper), Gastrointestinal Tumor Research and Treatment (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (640 citations), Oncology (378 citations), Cancer Research (130 citations), Gastroenterology (42 citations) and Genetics (123 citations). B. G. Taal has collaborated with scholars based in Netherlands. Frequent co-authors include Hans F. A. Vasen, Gerrit Griffioen, JT Wijnen, F. M. Nagengast, Liliana Varesco, Lucio Bertario, Riccardo Fodde, Julia Mohr, JH Kleibeuker and PM Khan. Their work appears in journals such as Gastroenterology, Annals of Oncology, Cancer Investigation, Gut and UCL Discovery (University College London).

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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