Denise van der Graaff

666 citations
7 papers · 484 indexed · 1 hit paper · h-index 4
Topics
Liver Disease Diagnosis and Treatment (5 papers)Liver Disease and Transplantation (4 papers)Diet, Metabolism, and Disease (3 papers)
Partner nations
BelgiumNetherlands

In The Last Decade

Denise van der Graaff

6 papers receiving 471 citations

Hit Papers

Non-alcoholic fatty liver disease and cardiovascular risk...20162026201920222016100200300

Peers

Denise van der Graaff
Comparison fields: 5 of 58
  • Epidemiology 437
  • Endocrinology, Diabetes and Metabolism 185
  • Hepatology 176
  • Cardiology and Cardiovascular Medicine 124
  • Pathology and Forensic Medicine 72
Replace Xingjian Li with:
Xingjian Li China
Victoria Wong Hong Kong
H.-Y. Chan United Kingdom
Stephanie A. Osganian United States
Hiroshi Ishiba Japan
Antonio Luis Eiras de Araújo Brazil
Junzhao Ye China
Hiroyoshi Taketani Japan
Sakura Yamamura Japan
A Beilfuss Germany
Denise van der Graaff relative to Xingjian Li China Xingjian Li's profile →
Citations per field
00.5×4.8×
Xingjian Li · 1×
Citations per year

Countries citing papers authored by Denise van der Graaff

Since Specialization
Citations

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

Fields of papers citing papers by Denise van der Graaff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denise van der Graaff. 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 Denise van der Graaff. The network helps show where Denise van der Graaff may publish in the future.

Co-authorship network of co-authors of Denise van der Graaff

This figure shows the co-authorship network connecting the top 25 collaborators of Denise van der Graaff. A scholar is included among the top collaborators of Denise van der Graaff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Denise van der Graaff. Denise van der Graaff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 27
3 0
4 2
5 26
6 34
7
Non-alcoholic fatty liver disease and cardiovascular risk: Pathophysiological mechanisms and implicationsbreakdown →
394

About Denise van der Graaff

Denise van der Graaff is a scholar working on Hepatology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 7 papers that have together received 484 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Liver Disease and Transplantation (4 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Hepatology (176 citations), Epidemiology (437 citations) and Endocrinology, Diabetes and Metabolism (185 citations). Denise van der Graaff has collaborated with scholars based in Belgium and Netherlands. Frequent co-authors include Wilhelmus J. Kwanten, Sven Francque, Benedicte Y. De Winter, Joris G. De Man, Jean‐Pierre Timmermans, Ann Driessen, Isabel Pintelon, Joris De Man, P. Michielsen and Luisa Vonghia. Their work appears in journals such as Journal of Hepatology, Cancers and Laboratory Investigation.

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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