Patrick M. Spielmann

2.4k citations
38 papers · 1.9k · h-index 21

Impact in

Papers in

    • Cancer, Hypoxia, and Metabolism 18
    • Metabolomics and Mass Spectrometry Studies 5
    • Mitochondrial Function and Pathology 4
    • Metabolism, Diabetes, and Cancer 4
    • RNA modifications and cancer 4

Patrick M. Spielmann

36 papers receiving 1.8k citations

Peers

Patrick M. Spielmann
Comparison fields: 5 of 111
  • Cancer Research 738
  • Molecular Biology 899
  • Biochemistry 78
  • Immunology 214
  • Otorhinolaryngology 41
Replace Nathalie Dehne with:
Nathalie Dehne Germany
F. Arwert Netherlands
Marie–Christine Rio France
I‐Shing Yu Taiwan
John P. Thomson United Kingdom
Ching‐Yi Chen United States
Daekee Lee South Korea
Hong Lou United States
Ottavia Barbieri Italy
Young‐Wook Cho United States
Patrick M. Spielmann relative to Nathalie Dehne Germany Nathalie Dehne's profile →
Citations per field
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Nathalie Dehne · 1×
Citations per year

Countries citing papers authored by Patrick M. Spielmann

Since Specialization
Citations

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

Fields of papers citing papers by Patrick M. Spielmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick M. Spielmann. 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 Patrick M. Spielmann. The network helps show where Patrick M. Spielmann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017267
2 2006248
3 1992124
4 2013114
5 1999106
6 200993
7 201683
8 200076
9 200074
10 199873
11 201169
12 200362
13 201946
14 200545
15 201844
16 199743
17 200732
18 200127
19 201525
20 200925

About Patrick M. Spielmann

Patrick M. Spielmann is a scholar working on Cancer Research, Molecular Biology, Cell Biology, Otorhinolaryngology and Hematology, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (18 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Hemoglobin structure and function (4 papers), Mitochondrial Function and Pathology (4 papers), Metabolism, Diabetes, and Cancer (4 papers), RNA modifications and cancer (4 papers), High Altitude and Hypoxia (4 papers) and Nasal Surgery and Airway Studies (3 papers). The work is most often cited by research in Cancer Research (738 citations), Molecular Biology (899 citations), Biochemistry (78 citations), Immunology (214 citations) and Otorhinolaryngology (41 citations). Patrick M. Spielmann has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Roland H. Wenger, Gieri Camenisch, Daniel P. Stiehl, Max Gassmann, Renato Wirthner, Jens Köditz, Paul S. White, S S M Hussain, Andreas Rolfs and Annette Scheid. Their work appears in journals such as Blood, FEBS Journal, Biological Chemistry, Cell and Atherosclerosis.

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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