David Oniani

519 total citations · 1 hit paper
14 papers, 214 citations indexed

About

David Oniani is a scholar working on Artificial Intelligence, Molecular Biology and Health Informatics. According to data from OpenAlex, David Oniani has authored 14 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in Health Informatics. Recurrent topics in David Oniani's work include Machine Learning in Healthcare (7 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Biomedical Text Mining and Ontologies (4 papers). David Oniani is often cited by papers focused on Machine Learning in Healthcare (7 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Biomedical Text Mining and Ontologies (4 papers). David Oniani collaborates with scholars based in United States, Poland and Canada. David Oniani's co-authors include Yanshan Wang, Jeremy Pamplin, Gary L. Legault, Yifan Peng, Ronald K. Poropatich, Li-Jia Li, Amir M. Rahmani, Ramesh Jain, Olivier Gevaert and Alexander Thieme and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

David Oniani

13 papers receiving 207 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Scoping Review of Artificial Intelligence for Precision Nutrition

2025 18 citations Xizhi Wu, David Oniani et al. Advances in Nutrition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Oniani United States	7	93	74	31	26	22	14	214
Shubo Tian United States	9	171 1.8×	114 1.5×	34 1.1×	95 3.7×	17 0.8×	19	356
Mirac Süzgün United States	5	209 2.2×	138 1.9×	51 1.6×	12 0.5×	34 1.5×	8	383
Madhumita Sushil United States	9	168 1.8×	116 1.6×	59 1.9×	42 1.6×	11 0.5×	19	294
Suraj Rajendran United States	9	107 1.2×	39 0.5×	22 0.7×	25 1.0×	49 2.2×	18	235
Mehul Gupta Canada	5	93 1.0×	109 1.5×	42 1.4×	18 0.7×	18 0.8×	7	202
Shirly Wang Canada	4	81 0.9×	57 0.8×	36 1.2×	13 0.5×	17 0.8×	4	179
Beverley Townsend South Africa	11	33 0.4×	44 0.6×	10 0.3×	47 1.8×	95 4.3×	29	229
Andrea Beretta Italy	7	103 1.1×	67 0.9×	35 1.1×	6 0.2×	7 0.3×	10	217
Dylan Hall United States	5	157 1.7×	31 0.4×	21 0.7×	33 1.3×	15 0.7×	7	247
Liyan Tang United States	7	172 1.8×	168 2.3×	107 3.5×	35 1.3×	19 0.9×	10	341

Countries citing papers authored by David Oniani

Since Specialization

Citations

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

Fields of papers citing papers by David Oniani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Oniani

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

All Works

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14 of 14 papers shown

Wu, Xizhi, David Oniani, Zeman Shao, et al.. (2025). A Scoping Review of Artificial Intelligence for Precision Nutrition. Advances in Nutrition. 16(4). 100398–100398. 18 indexed citations breakdown →

Azimi, Iman, David Oniani, Zahra Shakeri Hossein Abad, et al.. (2024). Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. npj Digital Medicine. 7(1). 82–82. 72 indexed citations

Oniani, David, et al.. (2024). Emerging opportunities of using large language models for translation between drug molecules and indications. Scientific Reports. 14(1). 10738–10738. 8 indexed citations

Sivarajkumar, Sonish, David Oniani, Kirk Roberts, et al.. (2024). Clinical Information Retrieval: A Literature Review. PubMed. 8(2). 313–352. 7 indexed citations

Wang, Yanshan, Xizhi Wu, Luke Carlson, & David Oniani. (2024). Generative AI enhanced with NCCN clinical practice guidelines for clinical decision support: A case study on bone cancer.. Journal of Clinical Oncology. 42(16_suppl). e13623–e13623. 3 indexed citations

Harris, Daniel R., Sunyang Fu, Andrew Wen, et al.. (2024). The ENACT network is acting on housing instability and the unhoused using the open health natural language processing toolkit. Journal of Clinical and Translational Science. 8(1). e98–e98. 2 indexed citations

Sivarajkumar, Sonish, et al.. (2024). Extraction of sleep information from clinical notes of Alzheimer’s disease patients using natural language processing. Journal of the American Medical Informatics Association. 31(10). 2217–2227. 4 indexed citations

Oniani, David, et al.. (2024). Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines. PubMed. 2024. 694–702. 13 indexed citations

Sarker, Abeed, Rui Zhang, Yanshan Wang, et al.. (2024). Natural Language Processing for Digital Health in the Era of Large Language Models. Yearbook of Medical Informatics. 33(1). 229–240. 2 indexed citations

10.

Oniani, David, Yifan Peng, Ronald K. Poropatich, et al.. (2023). Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare. npj Digital Medicine. 6(1). 225–225. 61 indexed citations

11.

Oniani, David, Bambang Parmanto, Andi Saptono, et al.. (2023). ReDWINE: A clinical datamart with text analytical capabilities to facilitate rehabilitation research. International Journal of Medical Informatics. 177. 105144–105144. 2 indexed citations

12.

Oniani, David, et al.. (2023). Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study. SHILAP Revista de lepidopterología. 2. e44293–e44293. 6 indexed citations

13.

Sivarajkumar, Sonish, David Oniani, Kirk Roberts, et al.. (2023). Clinical Information Retrieval: A literature review. Research Square.

14.

Oniani, David, Guoqian Jiang, Hongfang Liu, & Feichen Shen. (2020). Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases. Journal of the American Medical Informatics Association. 27(8). 1259–1267. 16 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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