Shiva Nemati

420 citations
14 papers · 324 indexed · h-index 9
Topics
Pluripotent Stem Cells Research (9 papers)Neurogenesis and neuroplasticity mechanisms (5 papers)Mesenchymal stem cell research (3 papers)
Partner nations
IranAustraliaGermany

In The Last Decade

Shiva Nemati

14 papers receiving 321 citations

Peers

Shiva Nemati
Comparison fields: 5 of 66
  • Molecular Biology 171
  • Cellular and Molecular Neuroscience 123
  • Developmental Neuroscience 86
  • Genetics 74
  • Pathology and Forensic Medicine 62
Replace Ruhel Ahmad with:
Ruhel Ahmad Germany
Shuhei Ito Japan
Yaming Yang China
Jason Sharp United States
Veronica Estrada Germany
Ana Alastrue‐Agudo Spain
Wen Yuan China
Jin Soo Oh South Korea
Joey Grochmal Canada
Ulf Westerlund Sweden
Shiva Nemati relative to Ruhel Ahmad Germany Ruhel Ahmad's profile →
Citations per field
00.5×1.5×1.8×
Ruhel Ahmad · 1×
Citations per year

Countries citing papers authored by Shiva Nemati

Since Specialization
Citations

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

Fields of papers citing papers by Shiva Nemati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiva Nemati

This figure shows the co-authorship network connecting the top 25 collaborators of Shiva Nemati. A scholar is included among the top collaborators of Shiva Nemati 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 Shiva Nemati. Shiva Nemati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 5
2 26
3 5
4 3
5 18
6 54
7 12
8 8
9
Transplantation of Adult Monkey Neural Stem Cells into A Contusion Spinal Cord Injury Model in Rhesus Macaque Monkeys
17
10
Transplantation of adult monkey neural stem cells into a contusion spinal cord injury model in rhesus macaque monkeys.
25
11
Cloning, expression, and functional characterization of in-house prepared human leukemia inhibitory factor.
6
12 51
13 47
14 47

About Shiva Nemati

Shiva Nemati is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Genetics, having authored 14 papers that have together received 324 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Developmental Neuroscience (86 citations), Genetics (74 citations) and Cellular and Molecular Neuroscience (123 citations). Shiva Nemati has collaborated with scholars based in Iran, Australia and Germany. Frequent co-authors include Hossein Baharvand, Sahar Kiani, Hamid Gourabi, Fereshteh Esfandiari, Ali Fathi, Mohammad Mardani, Zahra Taghipour, Ali Niapour, Fereshteh Karamali and Mohammad Hossein Nasr‐Esfahani. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and ACS Applied Materials & Interfaces.

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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