Nihar Ganju

559 total citations · 1 hit paper
9 papers, 385 citations indexed

About

Nihar Ganju is a scholar working on General Health Professions, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Nihar Ganju has authored 9 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in General Health Professions, 4 papers in Pediatrics, Perinatology and Child Health and 3 papers in Obstetrics and Gynecology. Recurrent topics in Nihar Ganju's work include Mobile Health and mHealth Applications (5 papers), Gestational Diabetes Research and Management (2 papers) and Maternal and fetal healthcare (2 papers). Nihar Ganju is often cited by papers focused on Mobile Health and mHealth Applications (5 papers), Gestational Diabetes Research and Management (2 papers) and Maternal and fetal healthcare (2 papers). Nihar Ganju collaborates with scholars based in United States. Nihar Ganju's co-authors include Kathryn Marko, Nathaniel G. DeNicola, Jillian T. Henderson, Curtis L. Lowery, Daniel Grossman, Catherine Witkop, Sarita Sonalkar, Jessica L. Butler, Yvonne S. Butler Tobah and Jill M. Krapf and has published in prestigious journals such as Obstetrics and Gynecology, JMIR mhealth and uhealth and JMIR Research Protocols.

In The Last Decade

Nihar Ganju

9 papers receiving 375 citations

Hit Papers

Telehealth Interventions to Improve Obstetric and Gynecol... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nihar Ganju United States 4 189 171 160 134 53 9 385
Josephus F M van den Heuvel Netherlands 10 193 1.0× 188 1.1× 200 1.3× 196 1.5× 12 0.2× 13 489
Malini A. Nijagal United States 8 123 0.7× 144 0.8× 114 0.7× 101 0.8× 40 0.8× 14 302
Renée M. Ferrari United States 10 87 0.5× 146 0.9× 155 1.0× 63 0.5× 84 1.6× 39 370
Sarah Rhoads United States 10 92 0.5× 84 0.5× 56 0.3× 144 1.1× 8 0.2× 33 321
Mary Ross–Davie United Kingdom 10 85 0.4× 215 1.3× 377 2.4× 244 1.8× 24 0.5× 15 524
Azin Alavi Iran 8 45 0.2× 42 0.2× 219 1.4× 123 0.9× 19 0.4× 43 359
Karolina Lindén Sweden 11 77 0.4× 105 0.6× 126 0.8× 53 0.4× 11 0.2× 39 263
S. Christine Zahniser United States 7 84 0.4× 65 0.4× 77 0.5× 84 0.6× 9 0.2× 9 348
Ching-Ching Lin United States 8 136 0.7× 146 0.9× 17 0.1× 15 0.1× 86 1.6× 23 296

Countries citing papers authored by Nihar Ganju

Since Specialization
Citations

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

Fields of papers citing papers by Nihar Ganju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nihar Ganju

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

All Works

9 of 9 papers shown
1.
DeNicola, Nathaniel G., Daniel Grossman, Kathryn Marko, et al.. (2020). Telehealth Interventions to Improve Obstetric and Gynecologic Health Outcomes. Obstetrics and Gynecology. 135(2). 371–382. 224 indexed citations breakdown →
2.
Marko, Kathryn, Nihar Ganju, Jill M. Krapf, et al.. (2019). A Mobile Prenatal Care App to Reduce In-Person Visits: Prospective Controlled Trial. JMIR mhealth and uhealth. 7(5). e10520–e10520. 58 indexed citations
3.
DeNicola, Nathaniel G., et al.. (2019). Evaluation of Antepartum and Postpartum Remote Blood Pressure Monitoring in Low-Risk Pregnancy [9K]. Obstetrics and Gynecology. 133(1). 120S–120S. 1 indexed citations
4.
DeNicola, Nathaniel G., Nihar Ganju, & Kathryn Marko. (2018). Evaluation of Antepartum and Postpartum Remote Monitoring of Gestational Weight Gain in Low-Risk Pregnancy [1A]. Obstetrics and Gynecology. 131(1). 9S–9S. 2 indexed citations
5.
DeNicola, Nathaniel G., et al.. (2018). Evaluating Patient Satisfaction and Experience for Technology-Enabled Prenatal Care for Low Risk Women [1L]. Obstetrics and Gynecology. 131(1). 129S–129S. 2 indexed citations
6.
Marko, Kathryn, et al.. (2016). Testing the Feasibility of Remote Patient Monitoring in Prenatal Care Using a Mobile App and Connected Devices: A Prospective Observational Trial. JMIR Research Protocols. 5(4). e200–e200. 77 indexed citations
7.
Marko, Kathryn, et al.. (2016). Remote Prenatal Care Monitoring With Digital Health Tools Can Reduce Visit Frequency While Improving Satisfaction [3]. Obstetrics and Gynecology. 127(Supplement 1). 1S–1S. 17 indexed citations
8.
Marko, Kathryn, et al.. (2016). A Resource and Cost Analysis on the Impact of Reduced Visits for Prenatal Care [29F]. Obstetrics and Gynecology. 127(Supplement 1). 58S–58S. 2 indexed citations
9.
Krapf, Jill M., et al.. (2015). Remote Capture and Monitoring of Clinical Data During Pregnancy [54]. Obstetrics and Gynecology. 125(Supplement 1). 26S–26S. 2 indexed citations

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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