Heidi Kenis

1.1k citations
18 papers · 875 indexed · h-index 13
Topics
Cell death mechanisms and regulation (9 papers)S100 Proteins and Annexins (8 papers)Phagocytosis and Immune Regulation (7 papers)

In The Last Decade

Heidi Kenis

17 papers receiving 866 citations

Peers

Heidi Kenis
Comparison fields: 5 of 95
  • Molecular Biology 512
  • Immunology 263
  • Hematology 160
  • Physiology 79
  • Genetics 73
Replace Peder Lisby Nørby with:
Peder Lisby Nørby Denmark
Lacramioara Ivanciu United States
John D. Kulman United States
Marian Seto United States
Patrice Dumain France
Paul A. Chindemi Canada
Peter F.J. Verhallen United States
Sonja Radau Germany
Andrew D. Westmuckett United States
B J Marafino United States
Heidi Kenis relative to Peder Lisby Nørby Denmark Peder Lisby Nørby's profile →
Citations per field
00.5×1.5×
Peder Lisby Nørby · 1×
Citations per year

Countries citing papers authored by Heidi Kenis

Since Specialization
Citations

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

Fields of papers citing papers by Heidi Kenis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heidi Kenis

This figure shows the co-authorship network connecting the top 25 collaborators of Heidi Kenis. A scholar is included among the top collaborators of Heidi Kenis 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 Heidi Kenis. Heidi Kenis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 16
2 63
3 31
4 175
5 29
6 26
7 83
8 48
9 128
10 52
11 10
12 117
13 52
14
Segmentary fibrous dysplasia manifesting as macrodactyly.
0
15
A specific phenotype associated with trisomy 15 mosaicism.
10
16
De novo complex chromosomal rearrangement (CCR) in a severely mentally retarded boy.
11
17
A hyperlipemia syndrome in infancy with rapidly fatal evolution.
7
18
A familial syndrome of mental retardation in association with multiple congenital anomalies resembling the syndrome of Smith-Lemli-Opitz.
17

About Heidi Kenis

Heidi Kenis is a scholar working on Immunology, Molecular Biology and Hematology, having authored 18 papers that have together received 875 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (9 papers), S100 Proteins and Annexins (8 papers) and Phagocytosis and Immune Regulation (7 papers). The work is most often cited by research in Hematology (160 citations), Immunology (263 citations) and Internal Medicine (43 citations). Heidi Kenis has collaborated with scholars based in Netherlands, United States and Bulgaria. Frequent co-authors include Chris Reutelingsperger, Leo Hofstra, Jagat Narula, Hugo van Genderen, Jagat Narula, Petra Lux, Roel J.W. van Kampen, H.C. Hemker, Marion A.H. Feijge and Johan W. M. Heemskerk. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Analytical Biochemistry.

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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