Rohan Pooniwala

481 total citations
13 papers, 321 citations indexed

About

Rohan Pooniwala is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Reproductive Medicine. According to data from OpenAlex, Rohan Pooniwala has authored 13 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 9 papers in Pediatrics, Perinatology and Child Health and 6 papers in Reproductive Medicine. Recurrent topics in Rohan Pooniwala's work include Reproductive Biology and Fertility (10 papers), Assisted Reproductive Technology and Twin Pregnancy (9 papers) and Ovarian function and disorders (3 papers). Rohan Pooniwala is often cited by papers focused on Reproductive Biology and Fertility (10 papers), Assisted Reproductive Technology and Twin Pregnancy (9 papers) and Ovarian function and disorders (3 papers). Rohan Pooniwala collaborates with scholars based in United States and South Korea. Rohan Pooniwala's co-authors include Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju, Charles L. Bormann, Raghav Gupta, Hadi Shafiee, Irene Souter, Irene Dimitriadis, Hemanth Kandula, Carol Lynn Curchoe and Leslie B. Ramirez and has published in prestigious journals such as Lab on a Chip, Fertility and Sterility and eLife.

In The Last Decade

Rohan Pooniwala

13 papers receiving 310 citations

Peers

Rohan Pooniwala

PHEOH

PPCH

Marco Toschi United States

Jonas Malmsten United States

Hemanth Kandula United States

Adrian Johnston Australia

Adolfo Flores-Saiffe Farías Mexico

Ashleigh Storr Australia

Jae Won Cho South Korea

Zhengyun Chen China

Jessica Wood Australia

Marco Toschi United States

Rohan Pooniwala

226 ×1.0

PHEOH

136 ×1.0

PPCH

169 ×1.4

36 ×0.9

34 ×0.9

Citations per year, relative to Rohan Pooniwala Rohan Pooniwala (= 1×) peers Marco Toschi

Countries citing papers authored by Rohan Pooniwala

Since Specialization

Citations

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

Fields of papers citing papers by Rohan Pooniwala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohan Pooniwala

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

All Works

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13 of 13 papers shown

Kanakasabapathy, Manoj Kumar, Prudhvi Thirumalaraju, Hemanth Kandula, et al.. (2021). Adaptive adversarial neural networks for the analysis of lossy and domain-shifted datasets of medical images. Nature Biomedical Engineering. 5(6). 571–585. 25 indexed citations

Bormann, Charles L., Carol Lynn Curchoe, Prudhvi Thirumalaraju, et al.. (2021). Deep learning early warning system for embryo culture conditions and embryologist performance in the ART laboratory. Journal of Assisted Reproduction and Genetics. 38(7). 1641–1646. 30 indexed citations

Bormann, Charles L., Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, et al.. (2020). Consistency and objectivity of automated embryo assessments using deep neural networks. Fertility and Sterility. 113(4). 781–787.e1. 76 indexed citations

Bormann, Charles L., Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju, et al.. (2020). Performance of a deep learning based neural network in the selection of human blastocysts for implantation. eLife. 9. 89 indexed citations

Kanakasabapathy, Manoj Kumar, Prudhvi Thirumalaraju, Charles L. Bormann, et al.. (2019). Development and evaluation of inexpensive automated deep learning-based imaging systems for embryology. Lab on a Chip. 19(24). 4139–4145. 36 indexed citations

Hariton, Eduardo, Irene Dimitriadis, Manoj Kumar Kanakasabapathy, et al.. (2019). A deep learning framework outperforms embryologists in selecting day 5 euploid blastocysts with the highest implantation potential. Fertility and Sterility. 112(3). e77–e78. 4 indexed citations

Dimitriadis, Irene, Charles L. Bormann, Manoj Kumar Kanakasabapathy, et al.. (2019). Deep convolutional neural networks (CNN) for assessment and selection of normally fertilized human embryos. Fertility and Sterility. 112(3). e272–e272. 13 indexed citations

Bortoletto, Pietro, Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju, et al.. (2019). Predicting blastocyst formation of day 3 embryos using a convolutional neural network (CNN): a machine learning approach. Fertility and Sterility. 112(3). e272–e273. 7 indexed citations

Hariton, Eduardo, Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, et al.. (2019). Deep learning can improve day 5 embryo scoring and decision making in an embryology laboratory. Fertility and Sterility. 112(3). e272–e272. 1 indexed citations

10.

Thirumalaraju, Prudhvi, John Hsu, Charles L. Bormann, et al.. (2019). Deep learning-enabled blastocyst prediction system for cleavage stage embryo selection. Fertility and Sterility. 111(4). e29–e29. 17 indexed citations

11.

Thirumalaraju, Prudhvi, Manoj Kumar Kanakasabapathy, Raghav Gupta, et al.. (2019). Automated quality assessment of individual embryologists performing ICSI using deep learning-enabled fertilization and embryo grading technology. Fertility and Sterility. 112(3). e71–e71. 7 indexed citations

12.

Dimitriadis, Irene, Charles L. Bormann, Prudhvi Thirumalaraju, et al.. (2019). Artificial intelligence-enabled system for embryo classification and selection based on image analysis. Fertility and Sterility. 111(4). e21–e21. 13 indexed citations

13.

Kanakasabapathy, Manoj Kumar, Prudhvi Thirumalaraju, Raghav Gupta, et al.. (2019). Improved monitoring of human embryo culture conditions using a deep learning-derived key performance indicator (KPI). Fertility and Sterility. 112(3). e70–e71. 3 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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