Geoff Otto

44 papers receiving 2.6k citations

Peers

Geoff Otto
Comparison fields: 5 of 92
  • Oncology 953
  • Cancer Research 517
  • Hepatology 262
  • Pathology and Forensic Medicine 351
  • Pulmonary and Respiratory Medicine 581
Replace Thomas McKee with:
Thomas McKee Switzerland
Jonathan S. Zager United States
Shigeto Kawauchi Japan
Lee D. Cranmer United States
Marie‐Anne Bründler Canada
Gabriele Palmedo Germany
Atsunori Oga Japan
Mauro Truini Italy
Steven E. Finkelstein United States
Rochelle L. Garcia United States
Geoff Otto relative to Thomas McKee Switzerland Thomas McKee's profile →
Citations per field
00.5×1.5×2.4×
Thomas McKee · 1×
Citations per year

Countries citing papers authored by Geoff Otto

Since Specialization
Citations

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

Fields of papers citing papers by Geoff Otto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014341
2 2014303
3 2003237
4 2004210
5 2000185
6 2015164
7 2008157
8 2013124
9 2013119
10 2012102
11 201398
12 201396
13 200285
14 201478
15 201762
16 200856
17 201555
18 201450
19 201828
20 201821

About Geoff Otto

Geoff Otto is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 45 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (20 papers), Lung Cancer Treatments and Mutations (7 papers), RNA and protein synthesis mechanisms (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Acute Myeloid Leukemia Research (4 papers), Viral Infections and Immunology Research (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Hepatitis C virus research (4 papers). The work is most often cited by research in Oncology (953 citations), Cancer Research (517 citations), Hepatology (262 citations), Pathology and Forensic Medicine (351 citations) and Pulmonary and Respiratory Medicine (581 citations). Geoff Otto has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Joseph D. Puglisi, Peter J. Lukavsky, Doron Lipson, Jeffrey S. Ross, Philip J. Stephens, Vincent A. Miller, Roman Yelensky, Insil Kim, Gary A. Palmer and Peter Sarnow. Their work appears in journals such as Journal of Clinical Oncology, Blood, Cancer Research, Clinical Cancer Research and Annals of Oncology.

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