Fatime Geyikoğlu

2.5k citations
98 papers · 2.2k · h-index 27

Impact in

Papers in

Fatime Geyikoğlu

92 papers receiving 2.1k citations

Peers

Fatime Geyikoğlu
Comparison fields: 5 of 106
  • Cancer Research 423
  • Drug Discovery 6
  • Health, Toxicology and Mutagenesis 286
  • Biochemistry 107
  • Pharmacology 125
Replace Mário Sérgio Mantovani with:
Mário Sérgio Mantovani Brazil
Ssu‐Ching Chen Taiwan
Ahmad Salimi Iran
Eduardo Madrigal‐Bujaidar Mexico
In‐Sik Shin South Korea
Lusânia Maria Greggi Antunes Brazil
Byung Mu Lee South Korea
Jenifer Saffi Brazil
Sinan İnce Türkiye
Mohammad Shokrzade Iran
Fatime Geyikoğlu relative to Mário Sérgio Mantovani Brazil Mário Sérgio Mantovani's profile →
Citations per field
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Mário Sérgio Mantovani · 1×
Citations per year

Countries citing papers authored by Fatime Geyikoğlu

Since Specialization
Citations

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

Fields of papers citing papers by Fatime Geyikoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007133
2 2010109
3 2010107
4 201392
5 201566
6 201966
7 201064
8 201458
9 200857
10 201257
11 201657
12 200747
13 201843
14 201042
15 201140
16 200739
17 201338
18 201237
19 202037
20 201834

About Fatime Geyikoğlu

Fatime Geyikoğlu is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Pharmacology, Pathology and Forensic Medicine and Biochemistry, having authored 98 papers that have together received 2.2k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (27 papers), Drug-Induced Hepatotoxicity and Protection (12 papers), Toxic Organic Pollutants Impact (12 papers), Nanoparticles: synthesis and applications (8 papers), Aluminum toxicity and tolerance in plants and animals (8 papers), Chemotherapy-induced organ toxicity mitigation (7 papers), Heavy Metal Exposure and Toxicity (6 papers) and Environmental Toxicology and Ecotoxicology (6 papers). The work is most often cited by research in Cancer Research (423 citations), Drug Discovery (6 citations), Health, Toxicology and Mutagenesis (286 citations), Biochemistry (107 citations) and Pharmacology (125 citations). Fatime Geyikoğlu has collaborated with scholars based in Türkiye, Egypt and Italy. Frequent co-authors include Hasan Türkez, Abdülgani Tatar, Mokhtar Ibrahim Yousef, Suat Çolak, Mevlüt Sait Keleş, Kübra Koç, Elanur Aydın, Başak Toğar, Ahmet Hacımüftüoğlu and Alı Aslan. Their work appears in journals such as Toxicology and Industrial Health, Biological Trace Element Research, Materials, Environmental Toxicology and Pharmacology and Brazilian Archives of Biology and Technology.

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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