Mohammad Taghvaei

402 citations
35 papers · 287 · h-index 9

Impact in

Papers in

Mohammad Taghvaei

33 papers receiving 278 citations

Peers

Mohammad Taghvaei
Comparison fields: 5 of 51
  • Endocrinology, Diabetes and Metabolism 96
  • Neurology 27
  • Genetics 30
  • Anesthesiology and Pain Medicine 13
  • Ophthalmology 10
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Citations per year

Countries citing papers authored by Mohammad Taghvaei

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Taghvaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201932
2 201231
3 201425
4 201822
5
Case Report: Combination Therapy with Mesenchymal Stem Cells and Granulocyte-Colony Stimulating Factor in a Case of Spinal Cord Injury.
201516
6 201213
7 202213
8 202212
9 202211
10 20239
11 20099
12 20138
13 20198
14 20237
15 20217
16 20226
17 20166
18 20115
19 20225
20
Tumor Necrosis Factor-Alpha and Interleukin-6 Gene Polymorphisms in Iranian Patients with Ischemic Heart Failure.
20185

About Mohammad Taghvaei

Mohammad Taghvaei is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Surgery, Cellular and Molecular Neuroscience and Genetics, having authored 35 papers that have together received 287 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (10 papers), Cerebrospinal fluid and hydrocephalus (3 papers), Meningioma and schwannoma management (3 papers), Advanced MRI Techniques and Applications (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Head and Neck Surgical Oncology (2 papers), Traditional and Medicinal Uses of Annonaceae (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (96 citations), Neurology (27 citations), Genetics (30 citations), Anesthesiology and Pain Medicine (13 citations) and Ophthalmology (10 citations). Mohammad Taghvaei has collaborated with scholars based in United States, Iran and Netherlands. Frequent co-authors include Mehdi Zeinalizadeh, Seyed Ehsan Parhizgar, Fatemeh Esfahanian, Siyuan Yu, James J. Evans, Michael J. Karsy, Manouchehr Nakhjavani, Mohammad Fakhri, Masood Naseripour and Giyarpuram N. Prashant. Their work appears in journals such as World Neurosurgery, Journal of neurosurgery, Pediatric Diabetes, Human Brain Mapping and Clinical Neurology and Neurosurgery.

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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