Simon Schallenberg

29 papers receiving 496 citations

Simon Schallenberg's Hit Papers

Open-ST: High-resolution spatial transcriptomics in 3D 2024 · 89 citations
890+1Years since publication255075

Peers

Simon Schallenberg
Comparison fields: 5 of 71
  • Health Informatics 17
  • Biophysics 32
  • Cancer Research 72
  • Oncology 82
  • Pulmonary and Respiratory Medicine 94
Replace Minsun Jung with:
Minsun Jung South Korea
Diana Montezuma Portugal
Kalnisha Naidoo United Kingdom
Henry Hiep Vo United States
Asier Antoranz Belgium
Eldo T. Verghese United Kingdom
Sandra Martínez-Morilla United States
Xiao‐Guang Ni China
Philipp Stenzel Germany
Simon Schallenberg relative to Minsun Jung South Korea Minsun Jung's profile →
Citations per field
00.5×3.7×
Minsun Jung · 1×
Citations per year

Countries citing papers authored by Simon Schallenberg

Since Specialization
Citations

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

Fields of papers citing papers by Simon Schallenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Open-ST: High-resolution spatial transcriptomics in 3D
Hit paper breakdown →
202489
2 202371
3 202158
4 202246
5 202043
6 202324
7 201921
8 201519
9 202314
10 201711
11 202510
12 202310
13 20189
14 20248
15 20238
16 20247
17 20237
18 20247
19 20247
20 20177

About Simon Schallenberg

Simon Schallenberg is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Cancer Research, having authored 39 papers that have together received 503 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Lung Cancer Diagnosis and Treatment (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Informatics (17 citations), Biophysics (32 citations), Cancer Research (72 citations), Oncology (82 citations) and Pulmonary and Respiratory Medicine (94 citations). Simon Schallenberg has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Frederick Klauschen, Alexander Quaas, Reinhard Buettner, Mihnea P. Dragomir, David Horst, Thomas Zander, Marieluise Kirchner, Corinna Friedrich, Christiane J. Bruns and Jens Neudecker. Their work appears in journals such as Oncotarget, Scientific Reports, European Journal of Cancer, International Journal of Molecular Sciences and Modern Pathology.

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.

Explore authors with similar magnitude of impact