Michael Simonov

8.7k total citations · 1 hit paper
47 papers, 790 citations indexed

About

Michael Simonov is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael Simonov has authored 47 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 10 papers in Cardiology and Cardiovascular Medicine and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael Simonov's work include COVID-19 Clinical Research Studies (13 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Heart Failure Treatment and Management (5 papers). Michael Simonov is often cited by papers focused on COVID-19 Clinical Research Studies (13 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Heart Failure Treatment and Management (5 papers). Michael Simonov collaborates with scholars based in United States, Australia and Italy. Michael Simonov's co-authors include F. Perry Wilson, Yu Yamamoto, Lama Ghazi, Aditya Biswas, Melissa Martin, Dennis G. Moledina, Jason H. Greenberg, Sherry G. Mansour, Loren Laine and Nihar R. Desai and has published in prestigious journals such as Gastroenterology, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Michael Simonov

47 papers receiving 773 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.

Electronic Alerts to Improve Heart Failure Therapy in Outpatient Practice

2022 109 citations Lama Ghazi, Yu Yamamoto et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Simonov United States	16	192	169	167	128	115	47	790
Ashish Verma United States	16	89 0.5×	351 2.1×	89 0.5×	120 0.9×	62 0.5×	84	1.0k
Maya K. Rao United States	9	51 0.3×	185 1.1×	300 1.8×	80 0.6×	84 0.7×	15	645
Jamie S. Hirsch United States	20	140 0.7×	510 3.0×	97 0.6×	144 1.1×	215 1.9×	61	1.3k
Melissa Martin United States	16	162 0.8×	69 0.4×	134 0.8×	93 0.7×	36 0.3×	41	808
Payal Patel United States	10	118 0.6×	143 0.8×	71 0.4×	126 1.0×	39 0.3×	22	779
Yuan Xu Canada	19	56 0.3×	215 1.3×	61 0.4×	224 1.8×	225 2.0×	79	1.1k
Roopa Kohli‐Seth United States	14	195 1.0×	151 0.9×	27 0.2×	280 2.2×	55 0.5×	67	952
Joana Gameiro Portugal	18	163 0.8×	95 0.6×	554 3.3×	245 1.9×	92 0.8×	71	968
Jarir At Thobari Indonesia	18	161 0.8×	105 0.6×	178 1.1×	134 1.0×	106 0.9×	86	943
Marion Mafham United Kingdom	13	261 1.4×	154 0.9×	83 0.5×	146 1.1×	378 3.3×	33	1.1k

Countries citing papers authored by Michael Simonov

Since Specialization

Citations

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

Fields of papers citing papers by Michael Simonov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Simonov

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Simonov. A scholar is included among the top collaborators of Michael Simonov 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 Simonov. Michael Simonov 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

Shung, Dennis, Kisung You, Neil S. Zheng, et al.. (2024). Validation of an Electronic Health Record–Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding. Gastroenterology. 167(6). 1198–1212. 6 indexed citations

Moledina, Dennis G., Kimber Shelton, Steven Menez, et al.. (2024). External Validation of an Electronic Health Record–Based Diagnostic Model for Histological Acute Tubulointerstitial Nephritis. Journal of the American Society of Nephrology. 36(5). 859–868. 1 indexed citations

Althouse, Benjamin M., Charlotte Baker, Samuel Gratzl, et al.. (2023). Racial inequality in COVID-treatment and in-hospital length of stay in the US over time. Frontiers in Public Health. 10. 1074775–1074775. 6 indexed citations

Smits, Peter D., Samuel Gratzl, Michael Simonov, et al.. (2023). Risk of COVID-19 breakthrough infection and hospitalization in individuals with comorbidities. Vaccine. 41(15). 2447–2455. 22 indexed citations

Rajeevan, Haseena, Michael Simonov, F. Perry Wilson, et al.. (2023). Mortality Differences Among Patients With Airway Disease Hospitalized With COVID-19. A6297–A6297. 1 indexed citations

Ghazi, Lama, Fan Li, Xinyuan Chen, et al.. (2022). Severe inpatient hypertension prevalence and blood pressure response to antihypertensive treatment. Journal of Clinical Hypertension. 24(3). 339–349. 10 indexed citations

Ghazi, Lama, Yu Yamamoto, Melissa Martin, et al.. (2022). Rationale and design of a pragmatic trial aimed at improving treatment of hyperlipidemia in outpatients with very high risk atherosclerotic cardiovascular disease: A pragmatic trial of messaging to providers about treatment of hyperlipidemia (PROMPT-LIPID). American Heart Journal. 253. 76–85. 8 indexed citations

Ghazi, Lama, Fan Li, Xinyuan Chen, et al.. (2022). Blood pressure response to commonly administered antihypertensives for severe inpatient hypertension. PLoS ONE. 17(4). e0265497–e0265497. 5 indexed citations

Patel, Dipal, et al.. (2021). Association of AKI-D with Urinary Findings and Baseline eGFR in Hospitalized COVID-19 Patients. Kidney360. 2(8). 1215–1224. 7 indexed citations

10.

Moledina, Dennis G., Michael Simonov, Yu Yamamoto, et al.. (2021). The Association of COVID-19 With Acute Kidney Injury Independent of Severity of Illness: A Multicenter Cohort Study. American Journal of Kidney Diseases. 77(4). 490–499.e1. 59 indexed citations

11.

Ghazi, Lama, Michael Simonov, Sherry G. Mansour, et al.. (2021). Predicting patients with false negative SARS-CoV-2 testing at hospital admission: A retrospective multi-center study. PLoS ONE. 16(5). e0251376–e0251376. 2 indexed citations

12.

Kuster, John K., Michael Simonov, Christopher Randolph, et al.. (2021). Low IgG trough and lymphocyte subset counts are associated with hospitalization for COVID-19 in patients with primary antibody deficiency. The Journal of Allergy and Clinical Immunology In Practice. 10(2). 633–636.e3. 7 indexed citations

13.

Peng, Teng J., Adam Jasne, Michael Simonov, et al.. (2021). Prior Stroke and Age Predict Acute Ischemic Stroke Among Hospitalized COVID-19 Patients: A Derivation and Validation Study. Frontiers in Neurology. 12. 741044–741044. 3 indexed citations

14.

Wang, Stephen Y., Takehiro Takahashi, Alexander B. Pine, et al.. (2021). Challenges in interpreting cytokine data in COVID-19 affect patient care and management. PLoS Biology. 19(8). e3001373–e3001373. 8 indexed citations

15.

Shung, Dennis, Jessie Huang, J. Kenneth Tay, et al.. (2021). Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit. Scientific Reports. 11(1). 8827–8827. 21 indexed citations

16.

Amodio, Matthew, Dennis Shung, Daniel B. Burkhardt, et al.. (2021). Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference. Patterns. 2(7). 100288–100288. 3 indexed citations

17.

Ahmad, Tariq, Yu Yamamoto, Aditya Biswas, et al.. (2021). REVeAL-HF. JACC Heart Failure. 9(6). 409–419. 15 indexed citations

18.

Simonov, Michael, Ugochukwu Ugwuowo, Yu Yamamoto, et al.. (2019). A simple real-time model for predicting acute kidney injury in hospitalized patients in the US: A descriptive modeling study. PLoS Medicine. 16(7). e1002861–e1002861. 48 indexed citations

19.

Shung, Dennis, et al.. (2019). Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review. Digestive Diseases and Sciences. 64(8). 2078–2087. 43 indexed citations

20.

Simonov, Michael, et al.. (2012). Modeling Adaptive Regulatory T-Cell Dynamics during Early HIV Infection. PLoS ONE. 7(4). e33924–e33924. 5 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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