Philipp Schütt

796 citations
23 papers · 594 indexed · h-index 13

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Reproductive System and Pregnancy

Papers in

    • Lung Cancer Diagnosis and Treatment 5
    • Lung Cancer Treatments and Mutations 5
    • Cancer Treatment and Pharmacology 2
    • Lung Cancer Research Studies 2
    • Cancer Immunotherapy and Biomarkers 2

Philipp Schütt

22 papers receiving 587 citations

Peers

Philipp Schütt
Comparison fields: 5 of 62
  • Hematology 180
  • Immunology 197
  • Oncology 239
  • Genetics 81
  • Internal Medicine 16
Replace Jack O. Egan with:
Jack O. Egan United States
Narelle Woodland Australia
Joanna Osada Poland
Róbert Szász Hungary
Geoffroy Venton France
Katharina Troppan Austria
Y Morishita Japan
A Shibuya Japan
Vladimir Vainstein Israel
Els de Groot Netherlands
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Citations per field
00.5×1.5×
Jack O. Egan · 1×
Citations per year

Countries citing papers authored by Philipp Schütt

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Schütt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200699
2 200773
3 201060
4 202050
5 200749
6 201045
7 200441
8 200533
9 200524
10 201024
11 200619
12 202115
13 200814
14 201810
15 200710
16 19777
17
Sural nerve conduction velocity and refractory period in diabetics without clinical signs of neuropathy.
19806
18 20215
19 20214
20 20203

About Philipp Schütt

Philipp Schütt is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Hematology, Epidemiology and Pathology and Forensic Medicine, having authored 23 papers that have together received 594 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Lung Cancer Treatments and Mutations (5 papers), Multiple Myeloma Research and Treatments (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Cancer Treatment and Pharmacology (2 papers), Immune Cell Function and Interaction (2 papers), Lung Cancer Research Studies (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Hematology (180 citations), Immunology (197 citations), Oncology (239 citations), Genetics (81 citations) and Internal Medicine (16 citations). Philipp Schütt has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Bertram Opalka, Dieter Brandhorst, Peter R. Ebeling, S. Seeber, Hans Grosse‐Wilde, Vera Rebmann, Mohammad R. Nowrousian, Tassilo Moritz, Ulrike Buttkereit and Michael Flaßhove. Their work appears in journals such as Human Immunology, European Journal Of Haematology, Journal of Thoracic Oncology, Journal of Clinical Monitoring and Computing and Clinical Immunology.

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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