Rupal Patel

21 papers receiving 361 citations

Peers

Rupal Patel
Comparison fields: 5 of 51
  • Applied Microbiology and Biotechnology 37
  • Experimental and Cognitive Psychology 52
  • Physiology 75
  • Signal Processing 25
  • Clinical Biochemistry 13
Replace Eun Ju Kim with:
Eun Ju Kim South Korea
Forogh Soltaninejad Iran
Yaniv Dotan Israel
Justine A. Johnson United States
Dong Youn Kim South Korea
William H. Atkinson United States
Alexander Kiderman United States
Yuliya Y. Yurko United States
Joy Backhaus Germany
H.K. Schutte Netherlands
Rupal Patel relative to Eun Ju Kim South Korea Eun Ju Kim's profile →
Citations per field
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Eun Ju Kim · 1×
Citations per year

Countries citing papers authored by Rupal Patel

Since Specialization
Citations

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

Fields of papers citing papers by Rupal Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rupal Patel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rupal Patel Line = papers co-authored together Rupal Patel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201379
2 202063
3 201542
4 200932
5 200826
6 201624
7 201824
8 202121
9 202110
10 20159
11 20148
12 20146
13 20166
14 20145
15 20165
16 20164
17 20204
18 20183
19 20172
20 20161

About Rupal Patel

Rupal Patel is a scholar working on Applied Microbiology and Biotechnology, Physiology, Clinical Biochemistry, Experimental and Cognitive Psychology and Infectious Diseases, having authored 21 papers that have together received 375 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (6 papers), Voice and Speech Disorders (6 papers), Phonetics and Phonology Research (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Kawasaki Disease and Coronary Complications (2 papers), Reading and Literacy Development (1 paper), Speech Recognition and Synthesis (1 paper) and Clostridium difficile and Clostridium perfringens research (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (37 citations), Experimental and Cognitive Psychology (52 citations), Physiology (75 citations), Signal Processing (25 citations) and Clinical Biochemistry (13 citations). Rupal Patel has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Stanford T. Shulman, Kathryn P. Connaghan, Larry K. Kociolek, Sameer J Patel, Xiaotian Zheng, Geoffrey S. Meltzner, Serge H. Roy, James T. Heaton, Yunbin Deng and Carlo J. De Luca. Their work appears in journals such as Journal of Speech Language and Hearing Research, Journal of the Pediatric Infectious Diseases Society, Infection and Drug Resistance, Folia Phoniatrica et Logopaedica and Journal of Hospital Infection.

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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