Saba Nikanfar

434 citations
28 papers · 275 · h-index 11

Impact in

Papers in

Saba Nikanfar

26 papers receiving 273 citations

Peers

Saba Nikanfar
Comparison fields: 5 of 70
  • Reproductive Medicine 82
  • Toxicology 21
  • Complementary and alternative medicine 15
  • Cancer Research 26
  • Public Health, Environmental and Occupational Health 47
Replace Wang-Yu Cai with:
Wang-Yu Cai China
Roohi Jeelani United States
Cengiz Karakaya Türkiye
Jung A. Seo South Korea
Kevin McEleny United Kingdom
Kinulpe Honorato‐Sampaio Brazil
Mariana Aragão Matos Donato Brazil
Yaling Zhang China
Hiroji Okada Japan
Saba Nikanfar relative to Wang-Yu Cai China Wang-Yu Cai's profile →
Citations per field
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Wang-Yu Cai · 1×
Citations per year

Countries citing papers authored by Saba Nikanfar

Since Specialization
Citations

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

Fields of papers citing papers by Saba Nikanfar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202037
2 202124
3 202123
4 202020
5
The effect of celecoxib and its combination with imatinib on human HT-29 colorectal cancer cells: Involvement of COX-2, Caspase-3, VEGF and NF-κB genes expression.
201618
6 202117
7 202017
8 202117
9 202213
10 201713
11 202113
12 20229
13 20229
14 20218
15 20226
16 20206
17 20255
18 20184
19 20244
20 20254

About Saba Nikanfar

Saba Nikanfar is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Pharmacology and Physiology, having authored 28 papers that have together received 275 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (8 papers), Ovarian function and disorders (5 papers), Sperm and Testicular Function (5 papers), Endometriosis Research and Treatment (4 papers), Reproductive System and Pregnancy (4 papers), Inflammatory mediators and NSAID effects (3 papers), Ovarian cancer diagnosis and treatment (2 papers) and Dietary Effects on Health (2 papers). The work is most often cited by research in Reproductive Medicine (82 citations), Toxicology (21 citations), Complementary and alternative medicine (15 citations), Cancer Research (26 citations) and Public Health, Environmental and Occupational Health (47 citations). Saba Nikanfar has collaborated with scholars based in Iran, Belgium and Germany. Frequent co-authors include Mohammad Nouri, Amir Fattahi, Hajar Oghbaei, Reza Zarezadeh, Fatemeh Kheradmand, Ralf Dittrich, Hamid Reza Nejabati, Davoud Jafari-Gharabaghlou, Sanya Haiaty and Vahideh Shahnazi. Their work appears in journals such as Cellular and Molecular Biology, Bioimpacts, Endocrine Connections, BMC Complementary Medicine and Therapies and Research in Pharmaceutical Sciences.

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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