Mümtaz Takır

874 citations
41 papers · 667 · h-index 13

Impact in

Papers in

    • Parathyroid Disorders and Treatments 4
    • Gout, Hyperuricemia, Uric Acid 3
    • Chronic Kidney Disease and Diabetes 2
    • Case Reports on Hematomas 2

Mümtaz Takır

38 papers receiving 649 citations

Peers

Mümtaz Takır
Comparison fields: 5 of 80
  • Nephrology 217
  • Geriatrics and Gerontology 24
  • Pathology and Forensic Medicine 78
  • Endocrinology, Diabetes and Metabolism 66
  • Physiology 90
Replace Aurélie Lenglet with:
Aurélie Lenglet France
Neila Fathallah Tunisia
Raoudha Slim Tunisia
Kaiyang Lin China
Xiaole Su China
Yusuf Selçoki Türkiye
Jianrong Chen China
B. Canaud Italy
Fatih Bulucu Türkiye
Mümtaz Takır relative to Aurélie Lenglet France Aurélie Lenglet's profile →
Citations per field
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Aurélie Lenglet · 1×
Citations per year

Countries citing papers authored by Mümtaz Takır

Since Specialization
Citations

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

Fields of papers citing papers by Mümtaz Takır

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015145
2 201486
3 201643
4 201441
5 201939
6 201632
7 201431
8 201529
9 201529
10 201526
11 201524
12 201618
13 201013
14 201610
15 201910
16 20149
17 20179
18 20159
19 20178
20 20167

About Mümtaz Takır

Mümtaz Takır is a scholar working on Nephrology, Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Dermatology, having authored 41 papers that have together received 667 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (4 papers), Inflammation biomarkers and pathways (3 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Case Reports on Hematomas (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Nephrology (217 citations), Geriatrics and Gerontology (24 citations), Pathology and Forensic Medicine (78 citations), Endocrinology, Diabetes and Metabolism (66 citations) and Physiology (90 citations). Mümtaz Takır has collaborated with scholars based in Türkiye, United States and Romania. Frequent co-authors include Osman Köstek, Mehmet Kanbay, Barış Afşar, Hasan Hüseyin Mutlu, Ömer Celal Elçioğlu, Richard J. Johnson, Abdullah Özkök, Aybala Erek, Adrian Covic and Özge Telci Çaklılı. Their work appears in journals such as Journal of Clinical Hypertension, Blood Purification, Experimental and Clinical Endocrinology & Diabetes, Redox Report and Lung.

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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