Maheetha Bharadwaj

1.9k citations
13 papers · 989 indexed · 2 hit papers · h-index 5

Maheetha Bharadwaj

13 papers receiving 980 citations

Hit Papers

The Expanding Digital Divide: Digital ...1442015202620182022250500750

Peers

Maheetha Bharadwaj
Comparison fields: 5 of 92
  • Cancer Research 431
  • Molecular Biology 713
  • Endocrinology 25
  • Genetics 131
  • Applied Psychology 19
Replace Maggie L. DiNome with:
Maggie L. DiNome United States
Harumi Yamamoto Japan
Christina M. Cruz United States
John W. Edmunds United Kingdom
Wei Sean Yong Singapore
Rachel Carter United Kingdom
Fujun Li China
Serena Maria Curti Italy
Donna Williams United States
Patricia A. Nolan United States
Maheetha Bharadwaj relative to Maggie L. DiNome United States Maggie L. DiNome's profile →
Citations per field
00.5×9.5×
Maggie L. DiNome · 1×
Citations per year

Countries citing papers authored by Maheetha Bharadwaj

Since Specialization
Citations

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

Fields of papers citing papers by Maheetha Bharadwaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20231
2 20225
3 20221
4 20221
5 20221
6
The Expanding Digital Divide: Digital Health Access Inequities during the COVID-19 Pandemic in New York Citybreakdown →
2021144
7 20213
8 20211
9 202110
10 202040
11 20202
12 20203
13
Systematic Discovery of Xist RNA Binding Proteinsbreakdown →
2015777

About Maheetha Bharadwaj

Maheetha Bharadwaj is a scholar working on Conservation, Emergency Medical Services and Emergency Medicine, having authored 13 papers that have together received 989 indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (2 papers), Disaster Response and Management (2 papers), Telemedicine and Telehealth Implementation (2 papers), Cancer Genomics and Diagnostics (2 papers), COVID-19 and healthcare impacts (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Art Therapy and Mental Health (1 paper) and Education, Leadership, and Health Research (1 paper). The work is most often cited by research in Cancer Research (431 citations), Molecular Biology (713 citations) and Endocrinology (25 citations). Maheetha Bharadwaj has collaborated with scholars based in United States, Singapore and Israel. Frequent co-authors include Terry Magnuson, Ci Chu, Qiangfeng Cliff Zhang, Édith Heard, Ryan A. Flynn, J. Mauro Calabrese, Howard Y. Chang, Gezzer Ortega, Carmen B. Rodriguez and Chukwuma N. Eruchalu. Their work appears in journals such as Cell, Journal of Clinical Oncology and Journal of Clinical Microbiology.

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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