Khalid Sait

1.1k citations
61 papers · 785 · h-index 18

Impact in

Papers in

Khalid Sait

57 papers receiving 755 citations

Peers

Khalid Sait
Comparison fields: 5 of 88
  • Obstetrics and Gynecology 137
  • Reproductive Medicine 126
  • Epidemiology 238
  • Oncology 107
  • Genetics 36
Replace Giovanni Delli Carpini with:
Giovanni Delli Carpini Italy
Maryam Sadat Hosseini Iran
Kristin Leigh Bixel United States
Kerri S. Bevis United States
Azita Tiznobaik Iran
Mehmet Ali Vardar Türkiye
Yarong Song China
Safoura Taheri Iran
Stefanos Zervoudis Greece
Michele Bartoletti Italy
Khalid Sait relative to Giovanni Delli Carpini Italy Giovanni Delli Carpini's profile →
Citations per field
00.5×2×3.3×
Giovanni Delli Carpini · 1×
Citations per year

Countries citing papers authored by Khalid Sait

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Sait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200966
2 200060
3 201348
4 201633
5 201330
6 201630
7 201729
8 201027
9 201126
10 201424
11 201822
12 202221
13 202020
14 200420
15 202219
16 201918
17 200818
18 201418
19 201116
20 202015

About Khalid Sait

Khalid Sait is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Oncology, Epidemiology and Immunology, having authored 61 papers that have together received 785 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (10 papers), Ovarian cancer diagnosis and treatment (9 papers), Endometrial and Cervical Cancer Treatments (4 papers), Cancer Cells and Metastasis (4 papers), Gestational Trophoblastic Disease Studies (4 papers), Computational Drug Discovery Methods (3 papers), Uterine Myomas and Treatments (3 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Obstetrics and Gynecology (137 citations), Reproductive Medicine (126 citations), Epidemiology (238 citations), Oncology (107 citations) and Genetics (36 citations). Khalid Sait has collaborated with scholars based in Saudi Arabia, Canada and United States. Frequent co-authors include Nisreen M. Anfinan, Mahmood Rasool, Jill G. Nation, Kalamegam Gauthaman, Peter Natesan Pushparaj, Absarul Haque, Adel Mohammed Abuzenadah, Sayed Sartaj Sohrab, Rola F. Turki and Qamre Alam. Their work appears in journals such as Gynecologic Oncology, Archives of Gynecology and Obstetrics, Current Drug Metabolism, Applied immunohistochemistry & molecular morphology and Frontiers in Genetics.

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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