Moiz Kasubhai

472 citations
11 papers · 185 indexed · h-index 5
Topics
SARS-CoV-2 and COVID-19 Research (2 papers)COVID-19 and Mental Health (2 papers)COVID-19 Pandemic Impacts (2 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEBMJ Open
Partner nations
United States

In The Last Decade

Moiz Kasubhai

11 papers receiving 178 citations

Peers

Moiz Kasubhai
Comparison fields: 5 of 45
  • Infectious Diseases 96
  • Health 81
  • Modeling and Simulation 49
  • Clinical Psychology 38
  • Economics and Econometrics 33
Replace María Emilia Paladino with:
María Emilia Paladino Italy
Keegan McCaffrey United States
Mohammad Ali Hossain Bangladesh
Tomer Meir Israel
Rashed Rowaiee United Arab Emirates
Rhonda Medows United States
Mandana Gholami United Arab Emirates
Kiva A. Fisher United States
Alexia Couture United States
Muli Zhang China
Moiz Kasubhai relative to María Emilia Paladino Italy María Emilia Paladino's profile →
Citations per field
00.5×1.5×2.2×
María Emilia Paladino · 1×
Citations per year

Countries citing papers authored by Moiz Kasubhai

Since Specialization
Citations

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

Fields of papers citing papers by Moiz Kasubhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moiz Kasubhai

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 4
2 8
3 15
4 72
5 5
6 67
7 1
8 3
9 4
10 2
11 4

About Moiz Kasubhai

Moiz Kasubhai is a scholar working on Health, Modeling and Simulation and Critical Care and Intensive Care Medicine, having authored 11 papers that have together received 185 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 and Mental Health (2 papers) and COVID-19 Pandemic Impacts (2 papers). The work is most often cited by research in Modeling and Simulation (49 citations), Health (81 citations) and Infectious Diseases (96 citations). Moiz Kasubhai has collaborated with scholars based in United States. Frequent co-authors include Vidya Menon, Masood A Shariff, Vihren Dimitrov, Brian D. Poole, Balavenkatesh Kanna, Jamie L. Jensen, Nehad Shabarek, Bo Yu, Brett E Pickett and Vikram Paruchuri. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMJ 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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