Mohammad A. Vasef

51 papers receiving 999 citations

Peers

Mohammad A. Vasef
Comparison fields: 5 of 71
  • Pathology and Forensic Medicine 388
  • Oncology 516
  • Genetics 135
  • Dermatology 77
  • Hematology 93
Replace Lawrence M. Weiss with:
Lawrence M. Weiss United States
Noah A. Brown United States
Hiromi Serizawa Japan
U Schmid Switzerland
Nidal M. Almasri Jordan
Noriaki Yoshida Japan
Jun‐ichi Tamaru Japan
Shashikant Chittal France
I. Anagnostopoulos Germany
S Pileri Italy
Mohammad A. Vasef relative to Lawrence M. Weiss United States Lawrence M. Weiss's profile →
Citations per field
00.5×7.7×
Lawrence M. Weiss · 1×
Citations per year

Countries citing papers authored by Mohammad A. Vasef

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad A. Vasef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad A. Vasef. 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 Mohammad A. Vasef. The network helps show where Mohammad A. Vasef may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199787
2 199772
3 200171
4 199564
5 200158
6
Cyclin D1 protein in multiple myeloma and plasmacytoma: an immunohistochemical study using fixed, paraffin-embedded tissue sections.
199756
7 201749
8
Detection of Epstein-Barr virus in multiple sites involved by Hodgkin's disease.
199549
9 200647
10 200443
11 199238
12 200837
13 200235
14 200434
15 200931
16 201627
17 201426
18 200624
19 199723
20 199823

About Mohammad A. Vasef

Mohammad A. Vasef is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Molecular Biology and Hematology, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Viral-associated cancers and disorders (14 papers), Chronic Lymphocytic Leukemia Research (11 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), HER2/EGFR in Cancer Research (5 papers), Sarcoma Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (5 papers) and Eosinophilic Disorders and Syndromes (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (388 citations), Oncology (516 citations), Genetics (135 citations), Dermatology (77 citations) and Hematology (93 citations). Mohammad A. Vasef has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Lawrence M. Weiss, L. Jeffrey Medeiros, Russell K. Brynes, Alfio Ferlito, Althea McCourty, Nian X. Sun, Sergei Syrbu, Chae H. Koo, William E. Katzin and Ghazi Zaatari. Their work appears in journals such as American Journal of Clinical Pathology, Archives of Pathology & Laboratory Medicine, Applied immunohistochemistry & molecular morphology, Modern Pathology and American Journal Of Pathology.

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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