Sameer H. Fatani

490 citations
24 papers · 372 · h-index 11

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 2
    • Adipokines, Inflammation, and Metabolic Diseases 4
    • Sepsis Diagnosis and Treatment 2

Sameer H. Fatani

23 papers receiving 363 citations

Peers

Sameer H. Fatani
Comparison fields: 5 of 81
  • Endocrine and Autonomic Systems 34
  • Biochemistry 22
  • Endocrinology, Diabetes and Metabolism 51
  • Physiology 72
  • Epidemiology 75
Replace Amal Baalash with:
Amal Baalash Egypt
Maryam Teimouri Iran
Keihan Ghatreh Samani Iran
Shoumen Lasker Bangladesh
Saad A. Noeman United States
Abdullah S. Shatoor Saudi Arabia
Ahmad Movahedian Iran
Sihle E. Mabhida South Africa
Hyunghee Lee South Korea
Josef Bartek Czechia
Sameer H. Fatani relative to Amal Baalash Egypt Amal Baalash's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sameer H. Fatani

Since Specialization
Citations

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

Fields of papers citing papers by Sameer H. Fatani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sameer H. Fatani. 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 Sameer H. Fatani. The network helps show where Sameer H. Fatani may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201352
2 200345
3 201645
4 201531
5 200330
6 201627
7 201125
8 200416
9 200714
10 201813
11 201712
12 200710
13 20239
14 20178
15 20206
16 20176
17 20185
18 20055
19 20224
20 20224

About Sameer H. Fatani

Sameer H. Fatani is a scholar working on Molecular Biology, Epidemiology, Endocrine and Autonomic Systems, Physiology and Nutrition and Dietetics, having authored 24 papers that have together received 372 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Trace Elements in Health (2 papers), Sepsis Diagnosis and Treatment (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (34 citations), Biochemistry (22 citations), Endocrinology, Diabetes and Metabolism (51 citations), Physiology (72 citations) and Epidemiology (75 citations). Sameer H. Fatani has collaborated with scholars based in Saudi Arabia, Egypt and United Kingdom. Frequent co-authors include Ebrahim Naderali, Mahmoud Zaki El-Readi, Safaa Yehia Eid, Michaël Wink, Gareth Williams, Abdullatif Taha Babakr, Hala F. M. Kamel, Heba M. Adly, Lucy Pickavance and Saleh A. K. Saleh. Their work appears in journals such as European Journal of Pharmacology, Atherosclerosis, Clinical Science, Biological Trace Element Research and DNA and Cell Biology.

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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