Hemanth Kandula

760 total citations
25 papers, 499 citations indexed

About

Hemanth Kandula is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Hemanth Kandula has authored 25 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Public Health, Environmental and Occupational Health, 13 papers in Reproductive Medicine and 11 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Hemanth Kandula's work include Reproductive Biology and Fertility (15 papers), Assisted Reproductive Technology and Twin Pregnancy (10 papers) and Reproductive Health and Technologies (6 papers). Hemanth Kandula is often cited by papers focused on Reproductive Biology and Fertility (15 papers), Assisted Reproductive Technology and Twin Pregnancy (10 papers) and Reproductive Health and Technologies (6 papers). Hemanth Kandula collaborates with scholars based in United States, Brazil and South Korea. Hemanth Kandula's co-authors include Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju, Hadi Shafiee, Charles L. Bormann, Irene Dimitriadis, Irene Souter, Raghav Gupta, Rohan Pooniwala, Carol Lynn Curchoe and Daniel R. Kuritzkes and has published in prestigious journals such as ACS Nano, PLoS ONE and Human Reproduction.

In The Last Decade

Hemanth Kandula

23 papers receiving 484 citations

Peers

Hemanth Kandula

PHEOH

PPCH

Rohan Pooniwala United States

Cristina Hickman United Kingdom

Marco Toschi United States

Jonas Malmsten United States

Adolfo Flores-Saiffe Farías Mexico

Adrian Johnston Australia

Leslie B. Ramirez United States

Anastasia A Theodosiou United Kingdom

Suraj Rajendran United States

Rohan Pooniwala United States

Hemanth Kandula

216 ×0.9

PHEOH

142 ×0.9

PPCH

124 ×0.8

25 ×0.2

27 ×0.3

Citations per year, relative to Hemanth Kandula Hemanth Kandula (= 1×) peers Rohan Pooniwala

Countries citing papers authored by Hemanth Kandula

Since Specialization

Citations

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

Fields of papers citing papers by Hemanth Kandula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hemanth Kandula

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

All Works

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20 of 20 papers shown

Kanakasabapathy, Manoj Kumar, Hemanth Kandula, Christina Cipriano, et al.. (2025). Stability and reliability of artificial intelligence models in embryo selection for in vitro fertilization. Fertility and Sterility. 125(2). 277–286.

Kim, Sungwan, Jane J. Kim, Joseph Hardie, et al.. (2025). Ultrasensitive and long-lasting bioluminescence immunoassay for point-of-care viral antigen detection. Nature Biomedical Engineering. 9(11). 1998–2012. 3 indexed citations

Kandula, Hemanth, Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, et al.. (2025). Comparing remote smartphone-based semen assessments with laboratory evaluations in men unselected for fertility concerns. Fertility and Sterility. 124(6). 1245–1254.

Kanakasabapathy, Manoj Kumar, Prudhvi Thirumalaraju, Hemanth Kandula, et al.. (2025). O-184 Variability in conventional AI models for embryo selection: implications for stability and clinical reliability in AI-driven IVF. Human Reproduction. 40(Supplement_1). 1 indexed citations

Jiang, Victoria S., Hemanth Kandula, Prudhvi Thirumalaraju, et al.. (2023). The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy status. Journal of Assisted Reproduction and Genetics. 40(2). 301–308. 13 indexed citations

Jiang, Victoria S., Prudhvi Thirumalaraju, Hemanth Kandula, et al.. (2022). Advancements in the future of automating micromanipulation techniques in the IVF laboratory using deep convolutional neural networks. Journal of Assisted Reproduction and Genetics. 40(2). 251–257. 10 indexed citations

Jiang, Victoria S., Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju, et al.. (2022). Using artificial intelligence to avoid human error in identifying embryos: a retrospective cohort study. Journal of Assisted Reproduction and Genetics. 39(10). 2343–2348. 10 indexed citations

Fitz, Victoria W., Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju, et al.. (2021). Should there be an “AI” in TEAM? Embryologists selection of high implantation potential embryos improves with the aid of an artificial intelligence algorithm. Journal of Assisted Reproduction and Genetics. 38(10). 2663–2670. 35 indexed citations

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

10.

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

11.

Kandula, Hemanth & Bonan Min. (2021). Improving Cross-Lingual Sentiment Analysis via Conditional Language Adversarial Nets. 32–37. 4 indexed citations

12.

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

13.

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

14.

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

15.

Kanakasabapathy, Manoj Kumar, et al.. (2019). Deep learning-enabled smartphone-based system for automated embryo assessments and evaluation. Fertility and Sterility. 112(3). e285–e286. 1 indexed citations

16.

Thirumalaraju, Prudhvi, Charles L. Bormann, Manoj Kumar Kanakasabapathy, Hemanth Kandula, & Hadi Shafiee. (2019). Deep learning-enabled prediction of fertilization based on oocyte morphological quality. Fertility and Sterility. 112(3). e275–e275. 2 indexed citations

17.

Dimitriadis, Irene, Charles L. Bormann, Manoj Kumar Kanakasabapathy, et al.. (2019). Automated smartphone-based system for measuring sperm viability, DNA fragmentation, and hyaluronic binding assay score. PLoS ONE. 14(3). e0212562–e0212562. 18 indexed citations

18.

Thirumalaraju, Prudhvi, et al.. (2019). Human sperm morphology analysis using smartphone microscopy and deep learning. Fertility and Sterility. 112(3). e41–e41. 17 indexed citations

19.

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

20.

Kandula, Hemanth, Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, et al.. (2018). An inexpensive smartphone-based device for point-of-care ovulation testing. Lab on a Chip. 19(1). 59–67. 33 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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