M.V. Bluthgen

557 citations
16 papers · 416 · h-index 8

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies

Papers in

    • Lung Cancer Treatments and Mutations 6
    • Lung Cancer Diagnosis and Treatment 3
    • Cancer Immunotherapy and Biomarkers 4
    • Lung Cancer Research Studies 2
    • Pancreatic and Hepatic Oncology Research 2

M.V. Bluthgen

15 papers receiving 412 citations

Peers

M.V. Bluthgen
Comparison fields: 5 of 31
  • Cancer Research 145
  • Oncology 194
  • Pulmonary and Respiratory Medicine 197
  • Neurology 53
  • Pathology and Forensic Medicine 36
Replace Gen Lin with:
Gen Lin China
Monica Barbolini Italy
Andrea E. Doak United States
Konstantinos Rounis Greece
Laura Schubert United States
Akira Okimura Japan
Francesca Consoli Italy
María San Román Spain
Murtuza Rampurwala United States
Tzu‐Hsiu Tsai Taiwan
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by M.V. Bluthgen

Since Specialization
Citations

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

Fields of papers citing papers by M.V. Bluthgen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.V. Bluthgen. 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 M.V. Bluthgen. The network helps show where M.V. Bluthgen may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2017133
2 201790
3 201774
4 201933
5 201622
6 201517
7 201612
8 20207
9 20157
10 20206
11 20174
12 20154
13 20163
14 20152
15 20192
16 20190

About M.V. Bluthgen

M.V. Bluthgen is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Neurology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 416 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Myasthenia Gravis and Thymoma (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Lung Cancer Research Studies (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Multiple and Secondary Primary Cancers (1 paper). The work is most often cited by research in Cancer Research (145 citations), Oncology (194 citations), Pulmonary and Respiratory Medicine (197 citations), Neurology (53 citations) and Pathology and Forensic Medicine (36 citations). M.V. Bluthgen has collaborated with scholars based in France, Argentina and Germany. Frequent co-authors include Benjamin Besse, Jordi Remón, David Planchard, Jean‐Charles Soria, Ludovic Lacroix, Caroline Caramella, Laura Faivre, Jean‐Pierre Pignon, Anas Gazzah and Claudio Nicotra. Their work appears in journals such as Annals of Oncology, Lung Cancer, European Journal of Cancer, Journal of Thoracic Oncology and European Respiratory Review.

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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