Shima T. Moein

1.9k citations
9 papers · 666 indexed · 1 hit paper · h-index 4
Topics
Olfactory and Sensory Function Studies (7 papers)Advanced Chemical Sensor Technologies (7 papers)Biochemical Analysis and Sensing Techniques (4 papers)
Partner nations
United StatesIran

In The Last Decade

Shima T. Moein

8 papers receiving 650 citations

Hit Papers

Smell dysfunction: a biomarker for COVID‐1920202026202220242020100200300400500

Peers

Shima T. Moein
Comparison fields: 5 of 69
  • Sensory Systems 482
  • Biomedical Engineering 359
  • Neurology 290
  • Nutrition and Dietetics 145
  • Infectious Diseases 133
Replace Katarzyna Bilińska with:
Katarzyna Bilińska Poland
Thirza Singer‐Cornelius Switzerland
Bertrand Bryche France
Fernando Rodríguez‐Jorge Spain
Elena Natera‐Villalba Spain
Álvaro Beltrán‐Corbellini Spain
Özlem Saatçi Türkiye
Keiland W Cooper United States
Andrea D’Alessandro Italy
Julia Draf Germany
Shima T. Moein relative to Katarzyna Bilińska Poland Katarzyna Bilińska's profile →
Citations per field
00.5×1.5×1.8×
Katarzyna Bilińska · 1×
Citations per year

Countries citing papers authored by Shima T. Moein

Since Specialization
Citations

This map shows the geographic impact of Shima T. Moein'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 Shima T. Moein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shima T. Moein more than expected).

Fields of papers citing papers by Shima T. Moein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shima T. Moein. 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 Shima T. Moein. The network helps show where Shima T. Moein may publish in the future.

Co-authorship network of co-authors of Shima T. Moein

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 14
3 2
4 2
5 1
6
Smell dysfunction: a biomarker for COVID‐19breakdown →
570
7 4
8 70
9 3

About Shima T. Moein

Shima T. Moein is a scholar working on Sensory Systems, Developmental Biology and Nutrition and Dietetics, having authored 9 papers that have together received 666 indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (7 papers), Advanced Chemical Sensor Technologies (7 papers) and Biochemical Analysis and Sensing Techniques (4 papers). The work is most often cited by research in Sensory Systems (482 citations), Neurology (290 citations) and Nutrition and Dietetics (145 citations). Shima T. Moein has collaborated with scholars based in United States and Iran. Frequent co-authors include Richard L. Doty, Payam Tabarsi, Seyed Mohammad Reza Hashemian, Kambiz Pourrezaei, Issa Zakeri, John A. Musick, Martin L. Lenhardt, Carol H. Yan, Ahmet Saçan and Reza Rajimehr. Their work appears in journals such as The Journal of the Acoustical Society of America, Behavior Research Methods and JAMA Network Open.

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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