Maryam Teimouri

839 citations
27 papers · 620 indexed · h-index 14
Topics
COVID-19 Clinical Research Studies (4 papers)Adipokines, Inflammation, and Metabolic Diseases (4 papers)Liver Disease Diagnosis and Treatment (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
Iran

In The Last Decade

Maryam Teimouri

24 papers receiving 613 citations

Peers

Maryam Teimouri
Comparison fields: 5 of 86
  • Molecular Biology 219
  • Epidemiology 194
  • Physiology 145
  • Endocrinology, Diabetes and Metabolism 97
  • Geriatrics and Gerontology 67
Replace Dornadula Sireesh with:
Dornadula Sireesh India
Monique LeMieux United States
Neda Rezvan Iran
Arash Karimi Iran
Nasrin Sheikh Iran
Christos S. Derdemezis Greece
Itaru Monno Japan
Ran Zhao China
Lin Lei China
Hyun Ju South Korea
Maryam Teimouri relative to Dornadula Sireesh India Dornadula Sireesh's profile →
Citations per field
00.5×1.5×2.4×
Dornadula Sireesh · 1×
Citations per year

Countries citing papers authored by Maryam Teimouri

Since Specialization
Citations

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

Fields of papers citing papers by Maryam Teimouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryam Teimouri

This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Teimouri. A scholar is included among the top collaborators of Maryam Teimouri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maryam Teimouri. Maryam Teimouri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 28
5 22
6 0
7 12
8 68
9 27
10 0
11 14
12 74
13 54
14 4
15 22
16 18
17 113
18 10
19 48
20 2

About Maryam Teimouri

Maryam Teimouri is a scholar working on Geriatrics and Gerontology, Physiology and Applied Microbiology and Biotechnology, having authored 27 papers that have together received 620 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Geriatrics and Gerontology (67 citations), Reproductive Medicine (52 citations) and Endocrinology, Diabetes and Metabolism (97 citations). Maryam Teimouri has collaborated with scholars based in Iran. Frequent co-authors include Reza Meshkani, Maryam Shabani, Hossein Hosseini, Asie Sadeghi, Mehdi Koushki, Zahra Arab Sadeghabadi, Hossein Hosseini, Akram Vatannejad, Pantea Izadi and Parvin Pasalar. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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