Boris Pasche

137 papers receiving 8.2k citations

Boris Pasche's Hit Papers

Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study 2018 · 342 citations
3420+5+10Years since publication100200300400

Peers

Boris Pasche
Comparison fields: 5 of 143
  • Oncology 1.5k
  • Cancer Research 828
  • Biophysics 420
  • Cell Biology 544
  • Genetics 1.1k
Replace Johan Hartman with:
Johan Hartman Sweden
Andrew M. Hanby United Kingdom
Michiie Sakamoto Japan
Patrick Micke Sweden
Isabelle J. Salmon Belgium
Iréne Esposito Germany
Jaime Rodriguez‐Canales United States
Vladimir Lazar France
Iver Petersen Germany
Maria Kost‐Alimova United States
Boris Pasche relative to Johan Hartman Sweden Johan Hartman's profile →
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Citations per year

Countries citing papers authored by Boris Pasche

Since Specialization
Citations

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

Fields of papers citing papers by Boris Pasche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001632
2
Genetic/Familial High-Risk Assessment: Breast and Ovarian
Hit paper breakdown →
2010483
3 2014460
4
Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study
Hit paper breakdown →
2018342
5 1993282
6 2018274
7 2009261
8 2019226
9 2007219
10 2017194
11 2001192
12 2016177
13 2014173
14 2020170
15 2018163
16 2011138
17
TbetaR-I(6A) is a candidate tumor susceptibility allele.
1999136
18 2010132
19 2019128
20 2009125

About Boris Pasche

Boris Pasche is a scholar working on Biophysics, Oncology, Genetics, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 140 papers that have together received 8.5k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (30 papers), Electromagnetic Fields and Biological Effects (13 papers), Genetic Associations and Epidemiology (13 papers), Brain Metastases and Treatment (12 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers), Genetic factors in colorectal cancer (7 papers), BRCA gene mutations in cancer (7 papers) and Colorectal Cancer Treatments and Studies (5 papers). The work is most often cited by research in Oncology (1.5k citations), Cancer Research (828 citations), Biophysics (420 citations), Cell Biology (544 citations) and Genetics (1.1k citations). Boris Pasche has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include John Varga, Yanfei Xu, Virginia Kaklamani, Loren Scott Michel, Michael J. Pennison, Paul J. Grippo, Naresh Bellam, Hidayatullah G. Munshi, Daniel R. Principe and Max Dobles. Their work appears in journals such as JAMA, Cancer Research, International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology and Cancer treatment and 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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