Michael Kraut

6.6k citations
58 papers · 1.9k · h-index 24

Impact in

    • Lung Cancer Diagnosis and Treatment
    • Lung Cancer Treatments and Mutations
    • Sarcoma Diagnosis and Treatment
    • Pleural and Pulmonary Diseases
  • Oncology top 5%
    • Lung Cancer Research Studies

Papers in

Michael Kraut

58 papers receiving 1.8k citations

Peers

Michael Kraut
Comparison fields: 5 of 100
  • Pulmonary and Respiratory Medicine 1.0k
  • Oncology 832
  • Otorhinolaryngology 51
  • Immunology 179
  • Microbiology 6
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J Maestre Spain
Yuka Fujita Japan
William L. Read United States
Masaki Tomita Japan
Eiki Kikuchi Japan
Tatsuo Nakagawa Japan
Doris M. Rassl United Kingdom
Akihito Kubo Japan
Pablo J. Cagnoni United States
Mitsuo Ohta Japan
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Michael Kraut

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kraut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007268
2 2001187
3 2007115
4 1998111
5 199987
6
Autoimmunity to the M(r) 32,000 subunit of replication protein A in breast cancer.
200271
7 200266
8 199962
9 201660
10 199357
11 200554
12 200053
13 200750
14 197247
15 201543
16 201034
17 202234
18 201233
19
Phase I clinical trial of pyrazoloacridine NSC366140 (PD115934).
199532
20 200931

About Michael Kraut

Michael Kraut is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Pharmacology, having authored 58 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (19 papers), Lung Cancer Treatments and Mutations (18 papers), Lung Cancer Diagnosis and Treatment (13 papers), Sarcoma Diagnosis and Treatment (7 papers), Cancer therapeutics and mechanisms (5 papers), Inflammatory mediators and NSAID effects (5 papers), Neuroendocrine Tumor Research Advances (5 papers) and Synthesis of β-Lactam Compounds (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.0k citations), Oncology (832 citations), Otorhinolaryngology (51 citations), Immunology (179 citations) and Microbiology (6 citations). Michael Kraut has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Robert B. Livingston, Frances A. Shepherd, David Gandara, Valerie W. Rusch, Claude Deschamps, Dorothy J. Giroux, Timothy Winton, David H. Johnson, Mark B. Hazuka and John Crowley. Their work appears in journals such as Journal of Clinical Oncology, Lung Cancer, Cancer, Journal of Thoracic Oncology and Annals of 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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