Stefan Gattenloehner

1.2k total citations
31 papers, 937 citations indexed

About

Stefan Gattenloehner is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Stefan Gattenloehner has authored 31 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 11 papers in Oncology. Recurrent topics in Stefan Gattenloehner's work include Lung Cancer Treatments and Mutations (4 papers), Epigenetics and DNA Methylation (3 papers) and Neonatal Respiratory Health Research (3 papers). Stefan Gattenloehner is often cited by papers focused on Lung Cancer Treatments and Mutations (4 papers), Epigenetics and DNA Methylation (3 papers) and Neonatal Respiratory Health Research (3 papers). Stefan Gattenloehner collaborates with scholars based in Germany, United States and United Kingdom. Stefan Gattenloehner's co-authors include Susanne Herold, Simon N. Willis, Kevin C. O’Connor, Scott Mallozzi, David A. Hafler, Werner Seeger, Juergen Lohmeyer, Tyler Caron, Christine Stadelmann and Scott J. Rodig and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Stefan Gattenloehner

28 papers receiving 925 citations

Peers

Stefan Gattenloehner
Comparison fields: 5 of 92
  • Pulmonary and Respiratory Medicine 286
  • Immunology 262
  • Oncology 243
  • Molecular Biology 235
  • Pathology and Forensic Medicine 204
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Citations per field, relative to Stefan Gattenloehner
Stefan Gattenloehner · 1×
Citations per year, relative to Stefan Gattenloehner
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Countries citing papers authored by Stefan Gattenloehner

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Gattenloehner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Gattenloehner

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Gattenloehner. A scholar is included among the top collaborators of Stefan Gattenloehner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Gattenloehner. Stefan Gattenloehner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 7
5 20
6 10
7 19
8 19
9 91
10 10
11 0
12 114
13 20
14 18
15 6
16 85
17 50
18 10
19 7
20 22

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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