Khalil Katato

441 citations
18 papers · 178 · h-index 6

Impact in

Papers in

    • Cancer Diagnosis and Treatment 3
    • Glycosylation and Glycoproteins Research 2
    • Renal and related cancers 2

Khalil Katato

15 papers receiving 175 citations

Peers

Khalil Katato
Comparison fields: 5 of 50
  • Internal Medicine 32
  • Genetics 49
  • Physiology 8
  • Pathology and Forensic Medicine 26
  • Pharmacology 25
Replace Peishu Liu with:
Peishu Liu China
Pilar Antón Spain
Marie‐Anne Mawhin France
Francesca Fazio Italy
Xuliang Shen China
Dabao Wu China
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Citations per field
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Citations per year

Countries citing papers authored by Khalil Katato

Since Specialization
Citations

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

Fields of papers citing papers by Khalil Katato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Establishment of a human B-CLL xenograft model: utility as a preclinical therapeutic model.
199637
2
Sequential treatment of human chronic lymphocytic leukemia with bryostatin 1 followed by 2-chlorodeoxyadenosine: preclinical studies.
199833
3 199829
4 201925
5 201920
6 201911
7 20185
8 20174
9 20203
10 20123
11 20202
12 20112
13 20202
14 20181
15 20101
16 20120
17 20130
18 20220

About Khalil Katato

Khalil Katato is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Genetics, having authored 18 papers that have together received 178 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (3 papers), Renal cell carcinoma treatment (3 papers), Cancer Diagnosis and Treatment (3 papers), Multiple and Secondary Primary Cancers (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Renal and related cancers (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Internal Medicine (32 citations), Genetics (49 citations), Physiology (8 citations), Pathology and Forensic Medicine (26 citations) and Pharmacology (25 citations). Khalil Katato has collaborated with scholars based in United States, Jordan and Lebanon. Frequent co-authors include Nathan R. Wall, Ayad Al‐Katib, Ramzi M. Mohammad, Yazan Zayed, Babikir Kheiri, Mahmoud Barbarawi, Ghassan Bachuwa, Ramzi M. Mohammad, Nayera Hamdy and Adam Chahine. Their work appears in journals such as Journal of Clinical Oncology, Blood, Biological Chemistry, Thrombosis Research and The American Journal of Gastroenterology.

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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