Farshad Niazi

1.2k citations
15 papers · 868 indexed · h-index 12
Topics
PI3K/AKT/mTOR signaling in cancer (5 papers)RNA modifications and cancer (3 papers)Cancer-related molecular mechanisms research (3 papers)

In The Last Decade

Farshad Niazi

14 papers receiving 856 citations

Peers

Farshad Niazi
Comparison fields: 5 of 84
  • Molecular Biology 579
  • Cancer Research 370
  • Oncology 111
  • Immunology 100
  • Periodontics 61
Replace Jennifer Raisch with:
Jennifer Raisch France
Wing Yin Cheng Hong Kong
Yoshinobu Odaka United States
Runzi Qi China
Weidong Zhu China
Soo‐Na Cho South Korea
Adel Youakim United States
Grace J. Yuen United States
Isabella Dotti Spain
Guangqi Li China
Farshad Niazi relative to Jennifer Raisch France Jennifer Raisch's profile →
Citations per field
00.5×5.1×
Jennifer Raisch · 1×
Citations per year

Countries citing papers authored by Farshad Niazi

Since Specialization
Citations

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

Fields of papers citing papers by Farshad Niazi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farshad Niazi

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 14
3 21
4 90
5 149
6 13
7 11
8 15
9 52
10 21
11
Exome Sequencing Reveals Germline SMAD9 Mutation that Reduces PTEN Expression and is Associated with Hamartomatous Polyposis and Gastrointestinal Ganglioneuromas
1
12 120
13 179
14 131
15 51

About Farshad Niazi

Farshad Niazi is a scholar working on Cancer Research, Otorhinolaryngology and Virology, having authored 15 papers that have together received 868 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), RNA modifications and cancer (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (370 citations), Periodontics (61 citations) and Otorhinolaryngology (39 citations). Farshad Niazi has collaborated with scholars based in United States, Singapore and Spain. Frequent co-authors include Saba Valadkhan, Charis Eng, Jessica Altemus, Bing Zhang, Lalith Gunawardane, Xin Chen, Fereshteh Jahanbani, Stephen R. Grobmyer, Benjamin C. Calhoun and Holly Green. Their work appears in journals such as Nucleic Acids Research, Gastroenterology and Molecular and Cellular 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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