Gitte Dam

2.0k citations
48 papers · 1.3k · h-index 19

Impact in

  • Hepatology top 1%
    • Liver Disease and Transplantation
    • Liver Disease Diagnosis and Treatment
    • Neuroendocrine Tumor Research Advances

Papers in

    • Neuroendocrine Tumor Research Advances 14
    • Liver Disease Diagnosis and Treatment 12
    • Liver Disease and Transplantation 26

Gitte Dam

46 papers receiving 1.3k citations

Peers

Gitte Dam
Comparison fields: 5 of 81
  • Hepatology 694
  • Epidemiology 624
  • Physiology 289
  • Gastroenterology 53
  • Clinical Biochemistry 64
Replace Mette Borre with:
Mette Borre Denmark
J. Balanzó Spain
W. Nolte Germany
G.R. Swart Netherlands
Radan Brůha Czechia
Eric R. Kallwitz United States
Federica Gentili Italy
Marko Duvnjak Croatia
Stuart J. Saunders South Africa
R. J. Groszmann United States
Gitte Dam relative to Mette Borre Denmark Mette Borre's profile →
Citations per field
00.5×3.2×
Mette Borre · 1×
Citations per year

Countries citing papers authored by Gitte Dam

Since Specialization
Citations

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

Fields of papers citing papers by Gitte Dam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017205
2 2016137
3 201395
4 201983
5 201266
6 201361
7 201157
8 201556
9 201255
10 201552
11 202133
12 201833
13 201832
14 201931
15 201826
16
Muscle metabolism and whole blood amino acid profile in patients with liver disease.
201524
17 201624
18 201823
19 201720
20 202218

About Gitte Dam

Gitte Dam is a scholar working on Epidemiology, Hepatology, Surgery, Oncology and Pathology and Forensic Medicine, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (26 papers), Neuroendocrine Tumor Research Advances (14 papers), Liver Disease Diagnosis and Treatment (12 papers), Organ Transplantation Techniques and Outcomes (6 papers), Lung Cancer Research Studies (3 papers), Muscle metabolism and nutrition (2 papers), Metabolism and Genetic Disorders (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Hepatology (694 citations), Epidemiology (624 citations), Physiology (289 citations), Gastroenterology (53 citations) and Clinical Biochemistry (64 citations). Gitte Dam has collaborated with scholars based in Denmark, Spain and Italy. Frequent co-authors include Niels Kristian Aagaard, Hendrik Vilstrup, Hendrik Vilstrup, Mette Borre, Lise Lotte Gluud, Íñigo Les, Giulio Marchesini, Peter Jepsen, Hugh Watson and Peter Ott. Their work appears in journals such as Cochrane Database of Systematic Reviews, Scandinavian Journal of Gastroenterology, Journal of Hepatology, Acta Oncologica and Neuroendocrinology.

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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