Neha Singhal

50 papers receiving 932 citations

Peers

Neha Singhal
Comparison fields: 5 of 134
  • Nutrition and Dietetics 126
  • Public Health, Environmental and Occupational Health 217
  • Endocrinology, Diabetes and Metabolism 119
  • Pharmacy 32
  • Physiology 127
Replace Samir M. Khoja with:
Samir M. Khoja Saudi Arabia
Christina P. Lambrinou Greece
Keiko Kitajima Japan
Nasheen Naidoo Singapore
MARYAM SADAT DANESHPOUR Iran
Rodrigo San-Cristóbal Spain
Mladen Golubić United States
Barbara J. Zimmerman United States
Qian Su China
Rosalind Fallaize United Kingdom
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Citations per field
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Samir M. Khoja · 1×
Citations per year

Countries citing papers authored by Neha Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Neha Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Neha Singhal, 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 Neha Singhal Line = papers co-authored together Neha Singhal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010244
2 2011236
3 2011118
4 201356
5 200935
6 201033
7 201029
8 201521
9 201017
10 201514
11 201712
12 201812
13
Self-reported Adherence to Medication among Patients with Type II Diabetes Mellitus attending a Tertiary Care Hospital of Delhi.
201912
14 201211
15 20149
16 20169
17
Antimicrobial protein from Streptomyces fulvissimus inhibitory to methicillin resistant Staphylococcus aureus.
20088
18 20188
19 20228
20 20207

About Neha Singhal

Neha Singhal is a scholar working on Public Health, Environmental and Occupational Health, Oral Surgery, Information Systems, Cellular and Molecular Neuroscience and Software, having authored 57 papers that have together received 981 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (5 papers), Obesity, Physical Activity, Diet (4 papers), Privacy, Security, and Data Protection (4 papers), Climate variability and models (3 papers), Malaria Research and Control (3 papers), Service-Oriented Architecture and Web Services (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Nutrition and Dietetics (126 citations), Public Health, Environmental and Occupational Health (217 citations), Endocrinology, Diabetes and Metabolism (119 citations), Pharmacy (32 citations) and Physiology (127 citations). Neha Singhal has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Anoop Misra, Lokesh Khurana, Paul T. Martin, Bhattiprolu Sivakumar, Abhishek Jaiswal, Priyali Shah, Puran Singh Sijwali, Rajesh Kumar Prasad, Kumaran Chandrasekharan and Philip Jon Rosenthal. Their work appears in journals such as Molecular and Biochemical Parasitology, Molecular and Cellular Neuroscience, PLoS Genetics, Journal of Diabetes and Developmental Neurobiology.

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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