Sibylle Hess

1.2k citations
25 papers · 778 indexed · h-index 12
Topics
Cell Adhesion Molecules Research (6 papers)Platelet Disorders and Treatments (4 papers)Genetic Associations and Epidemiology (3 papers)

In The Last Decade

Sibylle Hess

24 papers receiving 764 citations

Peers

Sibylle Hess
Comparison fields: 5 of 107
  • Molecular Biology 299
  • Immunology and Allergy 252
  • Cancer Research 169
  • Hematology 166
  • Cell Biology 93
Replace Annemieke A. van Kraats with:
Annemieke A. van Kraats Netherlands
Arunkumar B. Deora United States
Eric Sulpice France
Sharon J. Hyduk Canada
Kousaku Mimura Japan
Kazuki Okamura Japan
Kai Doberstein Germany
Javier Barallobre‐Barreiro United Kingdom
Chun-Yuan Yu China
Paul Elvin United Kingdom
Sibylle Hess relative to Annemieke A. van Kraats Netherlands Annemieke A. van Kraats's profile →
Citations per field
00.5×7.5×
Annemieke A. van Kraats · 1×
Citations per year

Countries citing papers authored by Sibylle Hess

Since Specialization
Citations

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

Fields of papers citing papers by Sibylle Hess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sibylle Hess

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 8
3 16
4 23
5 11
6 11
7 22
8 9
9
SHrimp: Descriptive Patterns in a Tree
3
10
TOWARDS A PRODUCTION SYSTEM SPECIFICATION TECHNIQUE FOR FUNCTIONALLY GRADED COMPONENTS
1
11 1
12
IMPEx Simulation Data Model : an extension to SPASE for the description of simulation runs
1
13 25
14 97
15
Modification of vitronectin by advanced glycation alters functional properties in vitro and in the diabetic retina.
84
16 139
17 29
18 3
19 31
20 139

About Sibylle Hess

Sibylle Hess is a scholar working on Immunology and Allergy, Hematology and Industrial and Manufacturing Engineering, having authored 25 papers that have together received 778 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), Platelet Disorders and Treatments (4 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Immunology and Allergy (252 citations), Hematology (166 citations) and Cancer Research (169 citations). Sibylle Hess has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Klaus T. Preissner, Rupert Timpl, Antje Stockmann, Paul Declerck, Xiang-Dong Ren, Jere E. Meredith, Martin A. Schwartz, S Winitz, Mark W. Renshaw and Jean M. Lewis. Their work appears in journals such as Journal of Biological Chemistry, Blood and Endocrine Reviews.

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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