Kim Brinch

888 citations
16 papers · 714 indexed · h-index 11

Impact in

Papers in

Kim Brinch

16 papers receiving 691 citations

Peers

Kim Brinch
Comparison fields: 5 of 84
  • Hepatology 236
  • Gastroenterology 79
  • Endocrine and Autonomic Systems 62
  • Nephrology 57
  • Epidemiology 265
Replace Peter Trewby with:
Peter Trewby United Kingdom
Albert Tomás Spain
Dimosthenis Vlassopoulos Greece
Michael Atkinson United Kingdom
Mehwish Qamar United Kingdom
Ana Clemente Spain
Rudolf Steffen Switzerland
Souheil G. Abou‐Assi United States
Joseph H. Clark United States
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Kim Brinch relative to Peter Trewby United Kingdom Peter Trewby's profile →
Citations per field
00.5×10×15.5×
Peter Trewby · 1×
Citations per year

Countries citing papers authored by Kim Brinch

Since Specialization
Citations

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

Fields of papers citing papers by Kim Brinch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim Brinch. 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 Kim Brinch. The network helps show where Kim Brinch may publish in the future.

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1
Quantitative gene expression underlying 18f-fluorodeoxyglucose uptake in colon cancer.
20151
2 20151
3 201320
4 20101
5 200354
6 200115
7 2001153
8 2000115
9 199917
10 199988
11
[Scientific activities in departments of clinical physiology/nuclear medicine in Denmark during the period 1989-1994. A bibliometric analysis of the "impact" and citation frequency].
19981
12 199753
13 19969
14 199622
15 199069
16 198795

About Kim Brinch

Kim Brinch is a scholar working on Hepatology, Statistics, Probability and Uncertainty, Nephrology, Gastroenterology and Anesthesiology and Pain Medicine, having authored 16 papers that have together received 714 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Liver Disease and Transplantation (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Colorectal Cancer Screening and Detection (2 papers), Renal function and acid-base balance (2 papers), Meta-analysis and systematic reviews (2 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Gastroesophageal reflux and treatments (1 paper). The work is most often cited by research in Hepatology (236 citations), Gastroenterology (79 citations), Endocrine and Autonomic Systems (62 citations), Nephrology (57 citations) and Epidemiology (265 citations). Kim Brinch has collaborated with scholars based in Denmark and Antigua and Barbuda. Frequent co-authors include Søren Møller, Jesper Graff, Jan L. Madsen, Flemming Bendtsen, Jens H. Henriksen, Ulrik Becker, Erik Feldager Hansen, J Godtfredsen, Palle Petersen and Gudrun Boysen. Their work appears in journals such as Scandinavian Journal of Gastroenterology, Journal of Hepatology, Journal of Clinical Oncology, Archives of Sexual Behavior and European Journal of Nuclear Medicine and Molecular Imaging.

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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