Mark Mansour

10 papers receiving 909 citations

Mark Mansour's Hit Papers

Sensitive tumour detection and classification using plasma cell-free DNA methylomes 2018 · 706 citations
7060+2+5Years since publication200400600

Peers

Mark Mansour
Comparison fields: 5 of 66
  • Cancer Research 535
  • Hematology 103
  • Oncology 202
  • Pathology and Forensic Medicine 106
  • Molecular Biology 426
Replace Neelima G. Reddy with:
Neelima G. Reddy United States
Angela Tan Australia
Tanaya L. Neff United States
Beth A. Pitel United States
Stephan Bartels Germany
Markus Mayrhofer Sweden
Kenneth J. Craddock Canada
Joana Vieira Portugal
Nike T. Beaubier United States
Bertil Johansson Sweden
Mark Mansour relative to Neelima G. Reddy United States Neelima G. Reddy's profile →
Citations per field
00.5×2×4×5.2×
Neelima G. Reddy · 1×
Citations per year

Countries citing papers authored by Mark Mansour

Since Specialization
Citations

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

Fields of papers citing papers by Mark Mansour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Sensitive tumour detection and classification using plasma cell-free DNA methylomes
Hit paper breakdown →
2018706
2 2017119
3 200639
4 201616
5 201815
6 202013
7 20209
8 20154
9 20242
10 20192
11 20240

About Mark Mansour

Mark Mansour is a scholar working on Cancer Research, Pathology and Forensic Medicine, Hematology, Biological Psychiatry and Immunology, having authored 11 papers that have together received 925 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Multiple Myeloma Research and Treatments (2 papers), Tryptophan and brain disorders (1 paper), Spondyloarthritis Studies and Treatments (1 paper), Diabetic Foot Ulcer Assessment and Management (1 paper), Hidradenitis Suppurativa and Treatments (1 paper) and Autoimmune Bullous Skin Diseases (1 paper). The work is most often cited by research in Cancer Research (535 citations), Hematology (103 citations), Oncology (202 citations), Pathology and Forensic Medicine (106 citations) and Molecular Biology (426 citations). Mark Mansour has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Olena Kis, Mark Dowar, Arnavaz Danesh, Trevor J. Pugh, Suzanne Kamel‐Reid, Suzanne Trudel, Rayan Kaedbey, Zhi-Hua Li, Tong Zhang and Tiantian Li. Their work appears in journals such as Nature, Pediatric Dermatology, American Journal of Clinical Dermatology, Journal of the American Academy of Dermatology and Nature Communications.

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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