A. Hakam

12 papers receiving 313 citations

Peers

A. Hakam
Comparison fields: 5 of 52
  • Obstetrics and Gynecology 81
  • Reproductive Medicine 24
  • Cancer Research 25
  • Surgery 74
  • Oncology 44
Replace Caroline Eymerit-Morin with:
Caroline Eymerit-Morin France
Omer Devaja United Kingdom
Sayaka Ueno Japan
Nicole Fairweather Australia
Moito Iijima Japan
Martin Hruda Czechia
G. C. Torre Italy
Tamara Sequeiros Spain
Caroline Humber United Kingdom
Yapei Zhu China
A. Hakam relative to Caroline Eymerit-Morin France Caroline Eymerit-Morin's profile →
Citations per field
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Citations per year

Countries citing papers authored by A. Hakam

Since Specialization
Citations

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

Fields of papers citing papers by A. Hakam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Bladder cancer-associated nuclear matrix proteins.
1996143
2 201674
3 201236
4
Cyclooxygenase-2 (COX-2) expression in human endometrial carcinoma and precursor lesions and its possible use in cancer chemoprevention and therapy.
200724
5
Value of multilevel sectioning for improved detection of micrometastases in sentinel lymph nodes in invasive squamous cell carcinoma of the vulva.
200421
6 200512
7 20237
8
Pelvic squamous cell carcinoma of unknown primary: a case report and review of the literature.
20163
9 20121
10 20131
11 20131
12 20151

About A. Hakam

A. Hakam is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Pathology and Forensic Medicine, Periodontics and Molecular Biology, having authored 12 papers that have together received 324 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (3 papers), Cancer Mechanisms and Therapy (2 papers), Reproductive Biology and Fertility (2 papers), 14-3-3 protein interactions (1 paper), Sarcoma Diagnosis and Treatment (1 paper), interferon and immune responses (1 paper), Kruppel-like factors research (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Obstetrics and Gynecology (81 citations), Reproductive Medicine (24 citations), Cancer Research (25 citations), Surgery (74 citations) and Oncology (44 citations). A. Hakam has collaborated with scholars based in United States, Japan and United Arab Emirates. Frequent co-authors include Michael J. Becich, Badrinath R. Konety, Robert R. Bahnson, Robert H. Getzenberg, Domenico Coppola, B Bödey, Jennifer L. Reed, Robert Michael Wenham, Jonathan Lancaster and Aejaz Nasir. Their work appears in journals such as Gynecologic Oncology, Human Pathology, Annals of Oncology, Australian Dental Journal and British Journal of Cancer.

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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