S. Kellermann

23 papers receiving 294 citations

Peers

S. Kellermann
Comparison fields: 5 of 61
  • Microbiology 10
  • Genetics 98
  • Pathology and Forensic Medicine 71
  • Radiology, Nuclear Medicine and Imaging 78
  • Neurology 38
Replace L. M. B. da Fonseca with:
L. M. B. da Fonseca Brazil
Steven M. Weindling United States
A. Krone Germany
Cathérine Breucq Belgium
Paul L. OʼBoynick United States
Tomoko Kobayashi Japan
Frank A. Raila United States
H F Wong Taiwan
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O Toubas France
S. Kellermann relative to L. M. B. da Fonseca Brazil L. M. B. da Fonseca's profile →
Citations per field
00.5×3.7×
L. M. B. da Fonseca · 1×
Citations per year

Countries citing papers authored by S. Kellermann

Since Specialization
Citations

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

Fields of papers citing papers by S. Kellermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gross-total Surgery of Supratentorial Low-grade Gliomas under Intraoperative MR Guidance
200174
2 200145
3 199929
4 199923
5 202021
6 201719
7 201717
8
Clinical significance and neuropathology of primary MADD in C34-T and G468-T mutations of the AMPD1 gene.
200511
9 199810
10 200110
11
Pulmonary nocardiosis with cutaneous involvement mimicking a metastasizing lung carcinoma in a patient with chronic myelogenous leukaemia.
20009
12 20177
13 20147
14 20197
15 20216
16 20154
17 20174
18
Zytophotometrische Untersuchungen an Rezidivgliomen Korrelation der DNA-Parameter mit dem WHO-Grad, dem Proliferationsindex und der Länge der rezidivfreien Intervalle
19991
19 20141
20 20091

About S. Kellermann

S. Kellermann is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Surgery, Pathology and Forensic Medicine and Epidemiology, having authored 26 papers that have together received 310 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Meningioma and schwannoma management (3 papers), Vascular Malformations Diagnosis and Treatment (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Sepsis Diagnosis and Treatment (2 papers), Complement system in diseases (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Metastasis and carcinoma case studies (2 papers). The work is most often cited by research in Microbiology (10 citations), Genetics (98 citations), Pathology and Forensic Medicine (71 citations), Radiology, Nuclear Medicine and Imaging (78 citations) and Neurology (38 citations). S. Kellermann has collaborated with scholars based in Germany, Taiwan and Austria. Frequent co-authors include Volker Seifert, Michael Zimmermann, Rüediger Gerlach, R. Schober, Johannes W. Dietrich, Andreas Raabe, Frank Schmidt, J.‐P. Schneider, L Schaffranietz and Stefan Grau. Their work appears in journals such as Acta Neurochirurgica, Journal of Neuro-Oncology, World Neurosurgery, Der Unfallchirurg and Frontiers in Immunology.

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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