Mona G. Flores

4.4k total citations · 1 hit paper
17 papers, 1.1k citations indexed

About

Mona G. Flores is a scholar working on Artificial Intelligence, Immunology and Oncology. According to data from OpenAlex, Mona G. Flores has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Immunology and 4 papers in Oncology. Recurrent topics in Mona G. Flores's work include AI in cancer detection (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Machine Learning in Healthcare (3 papers). Mona G. Flores is often cited by papers focused on AI in cancer detection (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Machine Learning in Healthcare (3 papers). Mona G. Flores collaborates with scholars based in United States, Israel and United Kingdom. Mona G. Flores's co-authors include Jiang Bian, Yonghui Wu, Anthony Costa, Aokun Chen, Xi Yang, Cheryl Martin, William R. Hogan, Tanja Magoč, Elizabeth Shenkman and Duane A. Mitchell and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Transplantation and Journal of Immunological Methods.

In The Last Decade

Mona G. Flores

14 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

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 large language model for electronic health records

2022 434 citations Xi Yang, Aokun Chen et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mona G. Flores United States	11	501	302	212	151	129	17	1.1k
Alexis B. Carter United States	20	627 1.3×	57 0.2×	333 1.6×	245 1.6×	35 0.3×	50	1.9k
Shigao Huang China	16	308 0.6×	134 0.4×	455 2.1×	193 1.3×	73 0.6×	46	1.2k
Meyke Hermsen Netherlands	13	1.1k 2.1×	125 0.4×	734 3.5×	225 1.5×	17 0.1×	22	1.6k
Stefano Marletta Italy	19	256 0.5×	89 0.3×	197 0.9×	239 1.6×	37 0.3×	62	815
Mohamed Amgad United States	18	692 1.4×	86 0.3×	717 3.4×	195 1.3×	32 0.2×	32	1.6k
Thomas de Bel Netherlands	10	641 1.3×	103 0.3×	459 2.2×	159 1.1×	8 0.1×	16	1.0k
Luke Gompels United Kingdom	10	180 0.4×	290 1.0×	180 0.8×	66 0.4×	64 0.5×	13	1.0k
J. Titano United States	14	518 1.0×	394 1.3×	746 3.5×	89 0.6×	12 0.1×	31	1.7k
Kerstin Noëlle Vokinger Switzerland	19	273 0.5×	463 1.5×	340 1.6×	158 1.0×	89 0.7×	68	1.6k
Beau Norgeot United States	9	300 0.6×	215 0.7×	186 0.9×	33 0.2×	30 0.2×	17	762

Countries citing papers authored by Mona G. Flores

Since Specialization

Citations

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

Fields of papers citing papers by Mona G. Flores

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mona G. Flores. 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 Mona G. Flores. The network helps show where Mona G. Flores may publish in the future.

Co-authorship network of co-authors of Mona G. Flores

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Roth, Holger R., Ziyue Xu, Daguang Xu, et al.. (2025). Overview of real-world applications of federated learning with NVIDIA FLARE. Journal of Biopharmaceutical Statistics. 1–11.

Cheng, Peng, Xi Yang, Aokun Chen, et al.. (2024). Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. Journal of the American Medical Informatics Association. 31(9). 1892–1903. 10 indexed citations

Khosravi, Bardia, Elham Mahmoudi, Pouria Rouzrokh, et al.. (2024). A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey. Journal of Imaging Informatics in Medicine. 37(5). 2015–2024.

Diaz‐Pinto, Andres, Vishwesh Nath, Yucheng Tang, et al.. (2024). MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. Medical Image Analysis. 95. 103207–103207. 36 indexed citations

Cheng, Peng, Xi Yang, Aokun Chen, et al.. (2023). A study of generative large language model for medical research and healthcare. npj Digital Medicine. 6(1). 210–210. 186 indexed citations

Hatamizadeh, Ali, Hongxu Yin, Pavlo Molchanov, et al.. (2023). Do Gradient Inversion Attacks Make Federated Learning Unsafe?. IEEE Transactions on Medical Imaging. 42(7). 2044–2056. 64 indexed citations

Dayan, Ittai, Elliot K. Fishman, Mona G. Flores, et al.. (2023). Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes. Health Informatics Journal. 29(4). 1207693120–1207693120. 4 indexed citations

Yang, Xi, Aokun Chen, Kaleb E Smith, et al.. (2022). A large language model for electronic health records. npj Digital Medicine. 5(1). 194–194. 434 indexed citations breakdown →

Rockenbach, Marcio Aloísio Bezerra Cavalcanti, Varun Buch, Vikash Gupta, et al.. (2022). Automatic detection of decreased ejection fraction and left ventricular hypertrophy on 4D cardiac CTA: Use of artificial intelligence with transfer learning to facilitate multi-site operations. Intelligence-Based Medicine. 6. 100051–100051.

10.

Sarma, Karthik V., Stephanie A. Harmon, Thomas Sanford, et al.. (2020). Federated learning improves site performance in multicenter deep learning without data sharing. Journal of the American Medical Informatics Association. 28(6). 1259–1264. 134 indexed citations

11.

Si, Ming‐Sing, Gerald J. Berry, Mona G. Flores, et al.. (2006). Janus kinase 3 inhibition with CP-690,550 prevents allograft vasculopathy. Transplant International. 19(12). 1014–1021. 29 indexed citations

12.

Borie, Dominic, Michael J. Larson, Mona G. Flores, et al.. (2005). Combined Use of the JAK3 Inhibitor CP-690,550 with Mycophenolate Mofetil to Prevent Kidney Allograft Rejection in Nonhuman Primates. Transplantation. 80(12). 1756–1764. 50 indexed citations

13.

Borie, Dominic, Paul S. Changelian, Michael J. Larson, et al.. (2005). Immunosuppression by the JAK3 Inhibitor CP-690,550 Delays Rejection and Significantly Prolongs Kidney Allograft Survival in Nonhuman Primates. Transplantation. 79(7). 791–801. 84 indexed citations

14.

Rousseau, Marc Antoine, et al.. (2005). Appraisal of the extent of chronic allograft vasculopathy in animal models: Proposition of a standardized micromorphometric method. Atherosclerosis. 181(2). 407–409. 2 indexed citations

15.

Paniagua, Ricardo, Ming‐Sing Si, Mona G. Flores, et al.. (2005). Effects of JAK3 Inhibition with CP-690,550 on Immune Cell Populations and Their Functions in Nonhuman Primate Recipients of Kidney Allografts. Transplantation. 80(9). 1283–1292. 66 indexed citations

16.

Flores, Mona G., Bari Holm, Michael J. Larson, et al.. (2004). A technique of bone marrow collection from vertebral bodies of cynomolgus macaques for transplant studies. Journal of Surgical Research. 124(2). 280–288. 1 indexed citations

17.

Flores, Mona G., et al.. (2004). In vitro evaluation of the effects of candidate immunosuppressive drugs: flow cytometry and quantitative real-time PCR as two independent and correlated read-outs. Journal of Immunological Methods. 289(1-2). 123–135. 18 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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