Katharina Heß

3.5k total citations · 1 hit paper
72 papers, 2.2k citations indexed

About

Katharina Heß is a scholar working on Epidemiology, Neurology and Surgery. According to data from OpenAlex, Katharina Heß has authored 72 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Epidemiology, 23 papers in Neurology and 18 papers in Surgery. Recurrent topics in Katharina Heß's work include Meningioma and schwannoma management (21 papers), Neurofibromatosis and Schwannoma Cases (18 papers) and Glioma Diagnosis and Treatment (8 papers). Katharina Heß is often cited by papers focused on Meningioma and schwannoma management (21 papers), Neurofibromatosis and Schwannoma Cases (18 papers) and Glioma Diagnosis and Treatment (8 papers). Katharina Heß collaborates with scholars based in Germany, United Kingdom and United States. Katharina Heß's co-authors include Benjamin Brokinkel, Walter Stummer, Peter J. Grant, Nikolaus Marx, Dorothee Cäcilia Spille, Markus Clemenz, Ulrich Kintscher, Werner Paulus, Martin Hartge and Ramzi Ajjan and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Katharina Heß

69 papers receiving 2.2k citations

Hit Papers

T-lymphocyte Infiltration in Visceral Adipose Tissue 2008 2026 2014 2020 2008 100 200 300 400 500

Peers

Katharina Heß
Comparison fields: 5 of 119
  • Epidemiology 986
  • Immunology 445
  • Neurology 406
  • Molecular Biology 348
  • Physiology 344
Replace Giuseppe Donato with:
Giuseppe Donato Italy
Jean‐Philippe Brouland France
Jerónimo Forteza Spain
Thomas H. Brannagan United States
Mei Li China
Ning Lin United States
Domenico Gerardo Iacopino Italy
Akifumi Matsuyama Japan
Gerhard Walter Germany
Hideshi Okada Japan
Giuseppe Donato Italy View profile →
Citations per field, relative to Katharina Heß
Katharina Heß · 1×
Citations per year, relative to Katharina Heß
Katharina Heß · 1×

Countries citing papers authored by Katharina Heß

Since Specialization
Citations

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

Fields of papers citing papers by Katharina Heß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katharina Heß

This figure shows the co-authorship network connecting the top 25 collaborators of Katharina Heß. A scholar is included among the top collaborators of Katharina 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 Katharina Heß. Katharina 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
# Work Indexed citations
1 1
2 8
3 3
4 7
5 6
6 1
7 1
8 4
9 13
10 2
11 10
12 9
13 31
14 4
15 66
16 24
17 1
18
Association between hepatic steatosis and non-alcoholic fatty liver disease and clot lysis dynamics in Type 2 diabetes: the Edinburgh Type 2 Diabetes Study (ET2DS)
1
19 51
20 1

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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