Michael Kraut

6.9k citations
73 papers · 5.2k · 3 hit papers · h-index 28

Impact in

Papers in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 10
    • Immune cells in cancer 7
    • Lung Cancer Diagnosis and Treatment 9
    • Lung Cancer Treatments and Mutations 6
    • Sarcoma Diagnosis and Treatment 5

Michael Kraut

64 papers receiving 5.1k citations

Michael Kraut's Hit Papers

Disease severity-specific neutrophil signatures in blood transcriptomes stratify COVID-19 patients 2021 · 191 citations
1910+4+8Years since publication50010001.5k

Peers

Michael Kraut
Comparison fields: 5 of 158
  • Immunology 1.5k
  • Health Informatics 86
  • Pulmonary and Respiratory Medicine 1.1k
  • Neurology 295
  • Oncology 888
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Citations per field
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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 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation
Hit paper breakdown →
20141730
2
Swarm Learning for decentralized and confidential clinical machine learning
Hit paper breakdown →
2021619
3 2013384
4 2007315
5 2001217
6
Disease severity-specific neutrophil signatures in blood transcriptomes stratify COVID-19 patients
Hit paper breakdown →
2021191
7 2017125
8 2007122
9 1998121
10 1999103
11
Autoimmunity to the M(r) 32,000 subunit of replication protein A in breast cancer.
200274
12 201670
13 200269
14 199965
15 199363
16 200060
17 200555
18 200753
19 197251
20 201548

About Michael Kraut

Michael Kraut is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Infectious Diseases, Oncology and Genetics, having authored 73 papers that have together received 5.2k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (12 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (10 papers), Blood disorders and treatments (9 papers), Lung Cancer Diagnosis and Treatment (9 papers), Lung Cancer Research Studies (8 papers), Immune cells in cancer (7 papers), Lung Cancer Treatments and Mutations (6 papers) and Sarcoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Immunology (1.5k citations), Health Informatics (86 citations), Pulmonary and Respiratory Medicine (1.1k citations), Neurology (295 citations) and Oncology (888 citations). Michael Kraut has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Robert B. Livingston, Frances Alice Shepherd, David Gandara, Valerie W. Rusch, David H. Johnson, Claude C. Deschamps, Timothy L. Winton, John Crowley, Mark B. Hazuka and Dorothy J. Giroux. Their work appears in journals such as Journal of Clinical Oncology, Lung Cancer, Annals of Oncology, Cancer and Sarcoma.

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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