Simon Schallenberg

28 papers receiving 428 citations

Simon Schallenberg's Hit Papers

Open-ST: High-resolution spatial transcriptomics in 3D 2024 · 66 citations
660+1Years since publication204060

Peers

Simon Schallenberg
Comparison fields: 5 of 71
  • Health Informatics 17
  • Cancer Research 75
  • Biophysics 28
  • Oncology 99
  • Radiology, Nuclear Medicine and Imaging 72
Replace Weiruo Zhang with:
Weiruo Zhang United States
Minsun Jung South Korea
Kuban D. Naidoo United Kingdom
Christina Y. Yu United States
Eldo T. Verghese United Kingdom
Maj‐Lis Møller Talman Denmark
Trudy N. Jonges Netherlands
Douglas M. Donnelly United States
Guan-Hua Su China
Debiao Li United States
Simon Schallenberg relative to Weiruo Zhang United States Weiruo Zhang's profile →
Citations per field
00.5×4.5×
Weiruo Zhang · 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 36 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 →
202466
2 202361
3 202155
4 202244
5 202041
6 202321
7 201920
8 201517
9 202312
10 201711
11 20239
12 20189
13 20248
14 20236
15 20256
16 20236
17 20176
18 20235
19 20175
20 20245

About Simon Schallenberg

Simon Schallenberg is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Molecular Biology and Cancer Research, having authored 36 papers that have together received 434 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Lung Cancer Treatments and Mutations (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), AI in cancer detection (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Esophageal Cancer Research and Treatment (4 papers). The work is most often cited by research in Health Informatics (17 citations), Cancer Research (75 citations), Biophysics (28 citations), Oncology (99 citations) and Radiology, Nuclear Medicine and Imaging (72 citations). Simon Schallenberg has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Frederick Klauschen, Alexander Quaas, Reinhard Buettner, Hakan Alakus, Thomas Zander, David Horst, Philipp Mertins, Mihnea P. Dragomir, Mohamed Haji and Heike Loeser. Their work appears in journals such as European Journal of Cancer, Modern Pathology, Oncotarget, International Journal of Molecular Sciences and Neoplasia.

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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