Michael Bockmayr

2.6k citations
35 papers · 1.4k indexed · h-index 21
Topics
Cancer Genomics and Diagnostics (11 papers)Glioma Diagnosis and Treatment (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)
Journals
Nucleic Acids ResearchJournal of Clinical InvestigationSHILAP Revista de lepidopterología

In The Last Decade

Michael Bockmayr

32 papers receiving 1.4k citations

Peers

Michael Bockmayr
Comparison fields: 5 of 122
  • Oncology 649
  • Molecular Biology 394
  • Immunology 294
  • Pulmonary and Respiratory Medicine 280
  • Cancer Research 278
Replace Niklas Rindtorff with:
Niklas Rindtorff Germany
Jeanne Shen United States
Perry Maxwell United Kingdom
Xinjuan Fan China
Jin Roh South Korea
Panu E. Kovanen Finland
Cleo‐Aron Weis Germany
Michael S. Toss United Kingdom
Yuming Jiang China
Marcin Imieliński United States
Michael Bockmayr relative to Niklas Rindtorff Germany Niklas Rindtorff's profile →
Citations per field
00.5×5.8×
Niklas Rindtorff · 1×
Citations per year

Countries citing papers authored by Michael Bockmayr

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bockmayr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Bockmayr

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Bockmayr. A scholar is included among the top collaborators of Michael Bockmayr 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 Michael Bockmayr. Michael Bockmayr 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 0
2 0
3 9
4 6
5 24
6 3
7 0
8 20
9 9
10 56
11 28
12 27
13 78
14 18
15 46
16 7
17 41
18 32
19 17
20 84

About Michael Bockmayr

Michael Bockmayr is a scholar working on Cancer Research, Health Informatics and Genetics, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Glioma Diagnosis and Treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Health Informatics (56 citations), Oncology (649 citations) and Cancer Research (278 citations). Michael Bockmayr has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Frederick Klauschen, Jan Budczies, Carsten Denkert, Albrecht Stenzinger, Manfred Dietel, Jochen K. Lennerz, Wilko Weichert, Ulrich Schüller, Klaus‐Robert Müller and Stephan Wienert. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

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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