Carsten Friedrich

1.7k citations
60 papers · 725 · h-index 15

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
  • Neurology top 10%
    • Neuroblastoma Research and Treatments

Papers in

Carsten Friedrich

57 papers receiving 708 citations

Peers

Carsten Friedrich
Comparison fields: 5 of 86
  • Genetics 329
  • Neurology 94
  • Endocrinology, Diabetes and Metabolism 87
  • Computer Graphics and Computer-Aided Design 12
  • Computer Vision and Pattern Recognition 63
Replace Yu‐Chuan Hu with:
Yu‐Chuan Hu China
Michal Hlaváč Germany
Jennifer Baccon United States
Jutta Becker Germany
Shintaro Fukushima Japan
Hongmin Bai China
Martin Sill Germany
Phedias Diamandis Canada
Baoshi Chen China
Hai‐Yan Nan China
Carsten Friedrich relative to Yu‐Chuan Hu China Yu‐Chuan Hu's profile →
Citations per field
00.5×2.9×
Yu‐Chuan Hu · 1×
Citations per year

Countries citing papers authored by Carsten Friedrich

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Friedrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201368
2 201267
3 201255
4 200245
5 201437
6 200334
7 201532
8 201527
9 201523
10 202321
11 201418
12 200518
13 202016
14 202316
15 202115
16 202314
17 201114
18 202412
19 201312
20 201212

About Carsten Friedrich

Carsten Friedrich is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Information Systems and Neurology, having authored 60 papers that have together received 725 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (22 papers), Pituitary Gland Disorders and Treatments (18 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Neuroblastoma Research and Treatments (4 papers), Cloud Data Security Solutions (4 papers), Data Visualization and Analytics (3 papers), Cryptography and Data Security (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Genetics (329 citations), Neurology (94 citations), Endocrinology, Diabetes and Metabolism (87 citations), Computer Graphics and Computer-Aided Design (12 citations) and Computer Vision and Pattern Recognition (63 citations). Carsten Friedrich has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Katja von Hoff, Stefan Rutkowski, Torsten Pietsch, André O. von Bueren, Peter Eades, Monika Warmuth‐Metz, Keith Nesbitt, Nicolas U. Gerber, Robert Kwiecien and Joachim Kuehl. Their work appears in journals such as Neuro-Oncology, Journal of Neuro-Oncology, European Journal of Cancer, Scientific Reports and PLoS ONE.

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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