Nicolai Schramm

647 citations
23 papers · 479 indexed · h-index 14
Topics
Radiomics and Machine Learning in Medical Imaging (4 papers)Genetic Neurodegenerative Diseases (4 papers)Muscle Physiology and Disorders (3 papers)

In The Last Decade

Nicolai Schramm

23 papers receiving 474 citations

Peers

Nicolai Schramm
Comparison fields: 5 of 56
  • Molecular Biology 189
  • Epidemiology 121
  • Oncology 80
  • Neurology 76
  • Surgery 73
Replace Aarti V. Shah with:
Aarti V. Shah United Kingdom
Elisabeth Ohmann Germany
Hans‐Ullrich Völker Germany
Kazuki Tatsumi Japan
Daniele Di Napoli Italy
Stephen G. Romansky United States
H Ishikura Japan
Qiang Dong China
Cheng‐Nan Chen Taiwan
H.‐J. Holzhausen Germany
Nicolai Schramm relative to Aarti V. Shah United Kingdom Aarti V. Shah's profile →
Citations per field
00.5×4.8×
Aarti V. Shah · 1×
Citations per year

Countries citing papers authored by Nicolai Schramm

Since Specialization
Citations

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

Fields of papers citing papers by Nicolai Schramm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolai Schramm

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolai Schramm. A scholar is included among the top collaborators of Nicolai Schramm 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 Nicolai Schramm. Nicolai Schramm 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 13
3 21
4 65
5 1
6 1
7 19
8 71
9 22
10 19
11 21
12 67
13 19
14 4
15 20
16 11
17 1
18 30
19 13
20 1

About Nicolai Schramm

Nicolai Schramm is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 479 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Biochemistry (55 citations), Neurology (76 citations) and Gastroenterology (22 citations). Nicolai Schramm has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Peter Reilich, Maggie C. Walter, Maximilian F. Reiser, Hanns Lochmüller, Benedikt Schoser, Frank Berger, Sabine Krause, John N. Morelli, Christoph R. Becker and Wolfram Kreß. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Nuclear Medicine and Molecular Imaging and European Radiology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026