Fereshteh Yazdanpanah

5.0k citations
17 papers · 335 indexed · h-index 7
Topics
Radiomics and Machine Learning in Medical Imaging (4 papers)SARS-CoV-2 and COVID-19 Research (3 papers)Hepatocellular Carcinoma Treatment and Prognosis (3 papers)
Journals
SHILAP Revista de lepidopterologíaCancerLife Sciences
Partner nations
IranUnited StatesGeorgia

In The Last Decade

Fereshteh Yazdanpanah

14 papers receiving 327 citations

Peers

Fereshteh Yazdanpanah
Comparison fields: 5 of 86
  • Infectious Diseases 179
  • Neurology 100
  • Surgery 89
  • Pathology and Forensic Medicine 41
  • Oncology 35
Replace Richard Vollenberg with:
Richard Vollenberg Germany
Hossein Haghbin United States
Gisha Mohan United States
Shannon Steele Canada
Salah Eddine Oussama Kacimi Algeria
Qianchuan Huang China
Zuoan Huang China
Yasutaka Fukui Japan
Eva M. Hoekstra Netherlands
Vincent Pestre France
Fereshteh Yazdanpanah relative to Richard Vollenberg Germany Richard Vollenberg's profile →
Citations per field
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Richard Vollenberg · 1×
Citations per year

Countries citing papers authored by Fereshteh Yazdanpanah

Since Specialization
Citations

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

Fields of papers citing papers by Fereshteh Yazdanpanah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fereshteh Yazdanpanah

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 2
5 0
6 1
7 7
8 1
9 15
10 8
11 2
12 20
13 6
14 65
15 197
16 2
17
Distribution pattern of colorectal diseases based on 2300 total colonoscopies.
8

About Fereshteh Yazdanpanah

Fereshteh Yazdanpanah is a scholar working on Hepatology, Pulmonary and Respiratory Medicine and Sensory Systems, having authored 17 papers that have together received 335 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Infectious Diseases (179 citations), Neurology (100 citations) and Sensory Systems (18 citations). Fereshteh Yazdanpanah has collaborated with scholars based in Iran, United States and Georgia. Frequent co-authors include Michael R. Hamblin, Nima Rezaei, Pedram Keshavarz, Malkhaz Mizandari, Sara Haseli, Maryam Poursadeghfard, Pooya Iranpour, Mahboobeh Karimi‐Galougahi, Steven S. Raman and Zachary J. Kastenberg. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer and Life Sciences.

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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