Michael Fanton

640 total citations
25 papers, 402 citations indexed

About

Michael Fanton is a scholar working on Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Michael Fanton has authored 25 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 10 papers in Public Health, Environmental and Occupational Health and 9 papers in Epidemiology. Recurrent topics in Michael Fanton's work include Automotive and Human Injury Biomechanics (9 papers), Ovarian function and disorders (7 papers) and Reproductive Biology and Fertility (7 papers). Michael Fanton is often cited by papers focused on Automotive and Human Injury Biomechanics (9 papers), Ovarian function and disorders (7 papers) and Reproductive Biology and Fertility (7 papers). Michael Fanton collaborates with scholars based in United States, Spain and Russia. Michael Fanton's co-authors include David B. Camarillo, Calvin Kuo, Kevin Loewke, Lyndia C. Wu, Eduardo Hariton, Valerie L. Baker, Alan B. Copperman, Louis N. Weckstein, Hossein Vahid Alizadeh and Arun Jayaraman and has published in prestigious journals such as Scientific Reports, Journal of Biomechanics and Sports Medicine.

In The Last Decade

Michael Fanton

23 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Fanton United States 13 141 100 97 91 75 25 402
Toshiyuki Uchida Japan 15 70 0.5× 15 0.1× 38 0.4× 28 0.3× 192 2.6× 59 732
Aaron Benson United States 11 24 0.2× 19 0.2× 91 0.9× 15 0.2× 61 0.8× 20 305
Jeremy Fairbank United Kingdom 12 69 0.5× 115 1.1× 17 0.2× 8 0.1× 19 0.3× 29 710
James J Arnold United States 9 31 0.2× 9 0.1× 40 0.4× 31 0.3× 20 0.3× 17 259
Dong‐Gi Lee South Korea 13 6 0.0× 10 0.1× 113 1.2× 84 0.9× 58 0.8× 55 424
Foo Cheong Ng Singapore 11 9 0.1× 22 0.2× 120 1.2× 29 0.3× 95 1.3× 31 370
Andre M. Loyd United States 9 79 0.6× 130 1.3× 47 0.5× 37 0.5× 17 314
Alison M. Pouch United States 20 16 0.1× 7 0.1× 138 1.4× 276 3.0× 21 0.3× 59 891
Jason F. Luck United States 13 202 1.4× 408 4.2× 190 2.1× 44 0.6× 28 715
Chris A. Van Ee United States 11 96 0.7× 350 3.6× 79 0.9× 26 0.3× 22 615

Countries citing papers authored by Michael Fanton

Since Specialization
Citations

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

Fields of papers citing papers by Michael Fanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Fanton

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

All Works

20 of 20 papers shown
1.
Canon, Chelsea M., Michael Fanton, Vaishali Suraj, et al.. (2024). Optimizing oocyte yield utilizing a machine learning model for dose and trigger decisions, a multi-center, prospective study. Scientific Reports. 14(1). 18721–18721. 7 indexed citations
2.
3.
Fanton, Michael, Jong Yoon Lee, V. Ravikumar Pandi, et al.. (2024). Feasibility of snapshot testing using wearable sensors to detect cardiorespiratory illness (COVID infection in India). npj Digital Medicine. 7(1). 289–289.
4.
Fanton, Michael, et al.. (2023). Causal inference indicates that poor responders have similar outcomes with the antagonist protocol compared with flare. Fertility and Sterility. 120(2). 289–296. 2 indexed citations
5.
Ghomrawi, Hassan, Megan K. O’Brien, Michael Fanton, et al.. (2023). Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy. npj Digital Medicine. 6(1). 148–148. 16 indexed citations
6.
Fanton, Michael, et al.. (2023). A higher number of oocytes retrieved is associated with an increase in fertilized oocytes, blastocysts, and cumulative live birth rates. Fertility and Sterility. 119(5). 762–769. 39 indexed citations
7.
O’Brien, Megan K., Sung Yul Shin, Michael Fanton, et al.. (2022). Wearable Sensors Improve Prediction of Post-Stroke Walking Function Following Inpatient Rehabilitation. IEEE Journal of Translational Engineering in Health and Medicine. 10. 1–11. 14 indexed citations
8.
Fanton, Michael, et al.. (2022). Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health. npj Digital Medicine. 5(1). 134–134. 10 indexed citations
9.
Fanton, Michael, et al.. (2022). An interpretable machine learning model for individualized gonadotrophin starting dose selection during ovarian stimulation. Reproductive BioMedicine Online. 45(6). 1152–1159. 28 indexed citations
10.
Fanton, Michael, et al.. (2022). An interpretable machine learning model for predicting the optimal day of trigger during ovarian stimulation. Fertility and Sterility. 118(1). 101–108. 39 indexed citations
11.
Fanton, Michael, et al.. (2022). AN INTERPRETABLE AND GENERALIZABLE MACHINE LEARNING MODEL FOR OPTIMIZING DAY OF TRIGGER DURING OVARIAN STIMULATION. Fertility and Sterility. 118(5). e44–e44. 1 indexed citations
12.
Fanton, Michael, Valerie L. Baker, & Kevin Loewke. (2022). SELECTION OF OPTIMAL GONADOTROPIN DOSE USING MACHINE LEARNING MAY BE ASSOCIATED WITH IMPROVED OUTCOMES AND REDUCED UTILIZATION OF FSH. Fertility and Sterility. 118(4). e80–e81. 3 indexed citations
13.
Lonini, Luca, Nicholas Shawen, Michael Fanton, et al.. (2021). Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study. IEEE Journal of Translational Engineering in Health and Medicine. 9. 1–11. 35 indexed citations
14.
Fanton, Michael, Hossein Vahid Alizadeh, August G. Domel, et al.. (2020). Variable area, constant force shock absorption motivated by traumatic brain injury prevention. Smart Materials and Structures. 29(8). 85023–85023. 11 indexed citations
15.
Alizadeh, Hossein Vahid, Michael Fanton, August G. Domel, Gerald A. Grant, & David B. Camarillo. (2020). A Computational Study of Liquid Shock Absorption for Prevention of Traumatic Brain Injury. Journal of Biomechanical Engineering. 143(4). 18 indexed citations
16.
Fanton, Michael, Lyndia C. Wu, & David B. Camarillo. (2019). Comment on “Frequency and Magnitude of Game-Related Head Impacts in Male Contact Sports Athletes: A Systematic Review and Meta-Analysis”. Sports Medicine. 50(4). 841–842. 4 indexed citations
17.
Kuo, Calvin, et al.. (2019). Passive cervical spine ligaments provide stability during head impacts. Journal of The Royal Society Interface. 16(154). 20190086–20190086. 24 indexed citations
18.
Kuo, Calvin, Michael Fanton, Lyndia C. Wu, & David B. Camarillo. (2018). Spinal constraint modulates head instantaneous center of rotation and dictates head angular motion. Journal of Biomechanics. 76. 220–228. 30 indexed citations
19.
Kuo, Calvin, et al.. (2018). Head Impact Kinematics Estimation With Network of Inertial Measurement Units. Journal of Biomechanical Engineering. 140(9). 6 indexed citations
20.
Kuo, Calvin, Lyndia C. Wu, Wei Zhao, et al.. (2017). Propagation of errors from skull kinematic measurements to finite element tissue responses. Biomechanics and Modeling in Mechanobiology. 17(1). 235–247. 22 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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