Lukas Käsmann

1.6k citations
101 papers · 1.0k · h-index 17

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Inflammatory Biomarkers in Disease Prognosis
    • Lung Cancer Diagnosis and Treatment
    • Lung Cancer Treatments and Mutations

Papers in

Lukas Käsmann

91 papers receiving 1.0k citations

Peers

Lukas Käsmann
Comparison fields: 5 of 86
  • Oncology 310
  • Pulmonary and Respiratory Medicine 300
  • Radiology, Nuclear Medicine and Imaging 145
  • Cancer Research 59
  • Endocrinology, Diabetes and Metabolism 65
Replace Dries Reynders with:
Dries Reynders Belgium
Qinfu Feng China
Neil K. Taunk United States
Vinicius Ernani United States
José Flávio Gomes Marin Brazil
Todd A. Pezzi United States
M.A. Neben-Wittich United States
Kelsey C. Stoltzfus United States
Ulrike Garske Sweden
Jima Lv China
Lukas Käsmann relative to Dries Reynders Belgium Dries Reynders's profile →
Citations per field
00.5×3.9×
Dries Reynders · 1×
Citations per year

Countries citing papers authored by Lukas Käsmann

Since Specialization
Citations

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

Fields of papers citing papers by Lukas Käsmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020155
2 201739
3 202137
4 202135
5 202135
6 202030
7 202129
8 202028
9 201828
10 202123
11 202122
12 202221
13 202020
14 201920
15 201718
16 202016
17 201716
18 201916
19 201615
20 201615

About Lukas Käsmann

Lukas Käsmann is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 101 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (20 papers), Cancer Immunotherapy and Biomarkers (14 papers), Lung Cancer Research Studies (12 papers), Lung Cancer Treatments and Mutations (10 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Management of metastatic bone disease (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Oncology (310 citations), Pulmonary and Respiratory Medicine (300 citations), Radiology, Nuclear Medicine and Imaging (145 citations), Cancer Research (59 citations) and Endocrinology, Diabetes and Metabolism (65 citations). Lukas Käsmann has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Farkhad Manapov, Claus Belka, Dirk Rades, Stefan Janssen, Chukwuka Eze, Julian Taugner, Olarn Roengvoraphoj, Amanda Tufman, Louisa Bolm and Steven E. Schild. Their work appears in journals such as Translational Lung Cancer Research, Anticancer Research, Strahlentherapie und Onkologie, Radiation Oncology and Journal of Cancer Research and Clinical Oncology.

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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