Mohammad Arafa

40 papers receiving 573 citations

Peers

Mohammad Arafa
Comparison fields: 5 of 83
  • Otorhinolaryngology 42
  • Cancer Research 128
  • Obstetrics and Gynecology 57
  • Reproductive Medicine 45
  • Hepatology 39
Replace Hirofumi Matsumoto with:
Hirofumi Matsumoto Japan
Minjie Mao China
Nikolaos Soulitzis Greece
Xuan Hong China
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D S Alberts United States
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Mohammad Arafa relative to Hirofumi Matsumoto Japan Hirofumi Matsumoto's profile →
Citations per field
00.5×4.2×
Hirofumi Matsumoto · 1×
Citations per year

Countries citing papers authored by Mohammad Arafa

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Arafa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammad Arafa, 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 Arafa Line = papers co-authored together Mohammad Arafa 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 200855
2 201552
3 201551
4 200850
5 201349
6 200833
7 201033
8 199421
9 202020
10 201020
11 201220
12
Neutrophil to lymphocyte ratio as a reliable marker to predict insulin resistance and fibrosis stage in chronic hepatitis C virus infection.
201519
13 200916
14 200813
15 201212
16 201912
17 201911
18 201010
19 201310
20 20139

About Mohammad Arafa

Mohammad Arafa is a scholar working on Molecular Biology, Oncology, Epidemiology, Surgery and Reproductive Medicine, having authored 45 papers that have together received 589 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (7 papers), Gestational Trophoblastic Disease Studies (4 papers), Prenatal Screening and Diagnostics (4 papers), Epigenetics and DNA Methylation (4 papers), Ovarian cancer diagnosis and treatment (4 papers), Colorectal and Anal Carcinomas (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Ectopic Pregnancy Diagnosis and Management (3 papers). The work is most often cited by research in Otorhinolaryngology (42 citations), Cancer Research (128 citations), Obstetrics and Gynecology (57 citations), Reproductive Medicine (45 citations) and Hepatology (39 citations). Mohammad Arafa has collaborated with scholars based in Egypt, Belgium and Oman. Frequent co-authors include Philippe Delvenne, Jacques Boniver, Philippe Delvenne, Michaël Herfs, Sabapathy P. Balasubramanian, Branko Perunović, Nicola J. Brown, Ishtiaq Rehman, S.E. Higham and Ahmed Abdel‐Razik. Their work appears in journals such as Clinical & Translational Oncology, Fertility and Sterility, International Journal of Cardiology, Histopathology and Applied immunohistochemistry & molecular morphology.

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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