Oliver M. Sieber

13.9k citations
115 papers · 7.1k indexed · 3 hit papers · h-index 42

Impact in

Papers in

Oliver M. Sieber

114 papers receiving 6.9k citations

Hit Papers

FunRich: An open access standalone functional enrichment and interaction network analysis tool 2015 · 980 citations
9802003202620102018250500750

Peers

Oliver M. Sieber
Comparison fields: 5 of 139
  • Pathology and Forensic Medicine 2.5k
  • Cancer Research 2.0k
  • Oncology 3.0k
  • Molecular Biology 3.3k
  • Cell Biology 403
Replace Luigi Maria Larocca with:
Luigi Maria Larocca Italy
Viviana Bazan Italy
Cheryl Gillett United Kingdom
Hoguen Kim South Korea
Teresa A. Brentnall United States
Giancarlo Troncone Italy
Siu Tsan Yuen Hong Kong
Joseph Willis United States
Boris Pasche United States
Andrew M. Hanby United Kingdom
Oliver M. Sieber relative to Luigi Maria Larocca Italy Luigi Maria Larocca's profile →
Citations per field
00.5×1.5×
Luigi Maria Larocca · 1×
Citations per year

Countries citing papers authored by Oliver M. Sieber

Since Specialization
Citations

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

Fields of papers citing papers by Oliver M. Sieber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20244
3 202353
4 202229
5 202111
6 202023
7 201911
8 201834
9 201853
10 201674
11 2016161
12 201514
13 2014287
14 2014287
15 20138
16 2009343
17 200857
18 200875
19 2003102
20 200097

About Oliver M. Sieber

Oliver M. Sieber is a scholar working on Pathology and Forensic Medicine, Oncology, Cancer Research, Molecular Biology and Atomic and Molecular Physics, and Optics, having authored 115 papers that have together received 7.1k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (46 papers), Colorectal Cancer Treatments and Studies (31 papers), Cancer Genomics and Diagnostics (19 papers), Semiconductor Lasers and Optical Devices (15 papers), Photonic and Optical Devices (15 papers), Advanced Fiber Laser Technologies (14 papers), Cancer-related Molecular Pathways (12 papers) and Wnt/β-catenin signaling in development and cancer (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.5k citations), Cancer Research (2.0k citations), Oncology (3.0k citations), Molecular Biology (3.3k citations) and Cell Biology (403 citations). Oliver M. Sieber has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Ian Tomlinson, Karl Heinimann, Peter Gibbs, Dmitri Mouradov, Lara Lipton, Jayesh Desai, Ian Tomlinson, John M. Mariadason, Antony W. Burgess and Lauri A. Aaltonen. Their work appears in journals such as Journal of Clinical Oncology, Optics Express, Cancers, Cancer Research and Clinical Cancer Research.

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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