Daniel Misch

1.2k citations
18 papers · 927 · h-index 13

Impact in

Papers in

Daniel Misch

17 papers receiving 904 citations

Peers

Daniel Misch
Comparison fields: 5 of 47
  • Pulmonary and Respiratory Medicine 454
  • Radiology, Nuclear Medicine and Imaging 266
  • Pathology and Forensic Medicine 85
  • Oncology 108
  • Cancer Research 34
Replace Masakatsu Sunagawa with:
Masakatsu Sunagawa Japan
Munetaka Matoba Japan
Chien‐An Liu Taiwan
Masafumi Oya Japan
Eisaku Ito Japan
Federica Matteucci Italy
Masayuki Nakao Japan
Alaa Kandil Egypt
Paul Cane United Kingdom
Nadia K. Al-Kaisi United States
Daniel Misch relative to Masakatsu Sunagawa Japan Masakatsu Sunagawa's profile →
Citations per field
00.5×2×4×6×8×9.7×
Masakatsu Sunagawa · 1×
Citations per year

Countries citing papers authored by Daniel Misch

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Misch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2007303
2 2013127
3 2009113
4 201079
5 200648
6 202045
7 200837
8 202037
9 201534
10 202125
11 202218
12 202418
13 201916
14 202311
15 20229
16 20235
17 20202
18 20230

About Daniel Misch

Daniel Misch is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Pathology and Forensic Medicine, Health Information Management and Cancer Research, having authored 18 papers that have together received 927 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Renal and related cancers (1 paper), Cancer Genomics and Diagnostics (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (454 citations), Radiology, Nuclear Medicine and Imaging (266 citations), Pathology and Forensic Medicine (85 citations), Oncology (108 citations) and Cancer Research (34 citations). Daniel Misch has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Timm Denecke, Holger Amthauer, Guenter Henze, Christian Furth, B. Stöver, Ingo Günter Steffen, Hubertus Hautzel, Juri Ruf, Stefan Schönberger and Jens Kollmeier. Their work appears in journals such as European Journal of Cancer, Lung Cancer, Journal of Clinical Oncology, European Journal of Nuclear Medicine and Molecular Imaging and Diagnostic Pathology.

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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