Noah C. Peeri
- Infectious Diseases top 5%
- Modeling and Simulation top 1%
- Clinical Psychology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Economics and Econometrics top 5%
- Co-authors
- Md. Siddikur RahmanRafdzah Ahmad ZakiNistha ShresthaUbydul HaqueZhengqi TanNasrin AghamohammadiWenyi ZhangMahdi Baghbanzadeh
- Topics
- Glioma Diagnosis and Treatment (3 papers)COVID-19 epidemiological studies (2 papers)Genetic factors in colorectal cancer (2 papers)
- Journals
- Scientific ReportsInternational Journal of EpidemiologyClinical Gastroenterology and Hepatology
- Partner nations
- United StatesMalaysiaBangladesh
In The Last Decade
Noah C. Peeri
20 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Infectious Diseases 480
- Modeling and Simulation 269
- Clinical Psychology 209
- Radiology, Nuclear Medicine and Imaging 175
- Economics and Econometrics 170
Countries citing papers authored by Noah C. Peeri
This map shows the geographic impact of Noah C. Peeri'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 Noah C. Peeri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah C. Peeri more than expected).
Fields of papers citing papers by Noah C. Peeri
This network shows the impact of papers produced by Noah C. Peeri. 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 Noah C. Peeri. The network helps show where Noah C. Peeri may publish in the future.
Co-authorship network of co-authors of Noah C. Peeri
This figure shows the co-authorship network connecting the top 25 collaborators of Noah C. Peeri. A scholar is included among the top collaborators of Noah C. Peeri 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 Noah C. Peeri. Noah C. Peeri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 41 | |
| 8 | 4 | |
| 9 | 18 | |
| 10 | 116 | |
| 11 | The SARS, MERS and novel coronavirus (COVID-19) epidemics, the newest and biggest global health threats: what lessons have we learned?breakdown → | 1080 |
| 12 | 6 | |
| 13 | 41 | |
| 14 | 32 | |
| 15 | 26 | |
| 16 | 11 | |
| 17 | 30 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 2 |
About Noah C. Peeri
Noah C. Peeri is a scholar working on Modeling and Simulation, Genetics and Nutrition and Dietetics, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), COVID-19 epidemiological studies (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Modeling and Simulation (269 citations), Infectious Diseases (480 citations) and General Dentistry (22 citations). Noah C. Peeri has collaborated with scholars based in United States, Malaysia and Bangladesh. Frequent co-authors include Md. Siddikur Rahman, Rafdzah Ahmad Zaki, Nistha Shrestha, Ubydul Haque, Zhengqi Tan, Nasrin Aghamohammadi, Wenyi Zhang, Mahdi Baghbanzadeh, Meng‐Hua Tao and Kathleen M. Egan. Their work appears in journals such as Scientific Reports, International Journal of Epidemiology and Clinical Gastroenterology and Hepatology.
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.