Morayma Reyes Gil

1.2k total citations
30 papers, 642 citations indexed

About

Morayma Reyes Gil is a scholar working on Infectious Diseases, Immunology and Surgery. According to data from OpenAlex, Morayma Reyes Gil has authored 30 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 7 papers in Immunology and 6 papers in Surgery. Recurrent topics in Morayma Reyes Gil's work include COVID-19 Clinical Research Studies (9 papers), Mechanical Circulatory Support Devices (5 papers) and Hidradenitis Suppurativa and Treatments (4 papers). Morayma Reyes Gil is often cited by papers focused on COVID-19 Clinical Research Studies (9 papers), Mechanical Circulatory Support Devices (5 papers) and Hidradenitis Suppurativa and Treatments (4 papers). Morayma Reyes Gil collaborates with scholars based in United States, United Kingdom and Malawi. Morayma Reyes Gil's co-authors include Adam Hanina, Laura Shafner, Daniel Labovitz, Henny H. Billett, Eran Bellin, James Szymanski, Shafia Rahman, Jesus D. Gonzalez‐Lugo, Maria Coco and Milagros Yunes and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Morayma Reyes Gil

25 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Morayma Reyes Gil United States 10 171 94 81 74 72 30 642
Arya Aminorroaya United States 19 79 0.5× 113 1.2× 58 0.7× 57 0.8× 34 0.5× 77 916
Joel Park United States 4 242 1.4× 58 0.6× 136 1.7× 76 1.0× 49 0.7× 7 534
Wei Tse Li United States 15 222 1.3× 268 2.9× 20 0.2× 114 1.5× 92 1.3× 38 1.1k
Veena G Jones United States 9 314 1.8× 38 0.4× 37 0.5× 29 0.4× 98 1.4× 14 727
Venkatesh Avula United States 12 113 0.7× 88 0.9× 23 0.3× 25 0.3× 60 0.8× 23 782
Rebecca A. Marmor United States 9 296 1.7× 151 1.6× 23 0.3× 26 0.4× 141 2.0× 33 685
Amirali Karimi Iran 18 533 3.1× 226 2.4× 24 0.3× 70 0.9× 198 2.8× 61 1.1k
Amy M. Sitapati United States 15 192 1.1× 75 0.8× 53 0.7× 36 0.5× 61 0.8× 33 635
Soheil Kooraki Iran 8 272 1.6× 187 2.0× 30 0.4× 386 5.2× 112 1.6× 26 812
Kamal Kant Sahu United States 22 532 3.1× 276 2.9× 49 0.6× 85 1.1× 241 3.3× 178 1.7k

Countries citing papers authored by Morayma Reyes Gil

Since Specialization
Citations

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

Fields of papers citing papers by Morayma Reyes Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Morayma Reyes Gil. 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 Morayma Reyes Gil. The network helps show where Morayma Reyes Gil may publish in the future.

Co-authorship network of co-authors of Morayma Reyes Gil

This figure shows the co-authorship network connecting the top 25 collaborators of Morayma Reyes Gil. A scholar is included among the top collaborators of Morayma Reyes Gil 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 Morayma Reyes Gil. Morayma Reyes Gil 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.
Kessler, Anne, Thomas E. Keller, Stephen Ray, et al.. (2024). Prothrombotic autoantibodies targeting platelet factor 4/polyanion are associated with pediatric cerebral malaria. Journal of Clinical Investigation. 134(11). 2 indexed citations
2.
Gil, Morayma Reyes, Joshua Pantanowitz, & Hooman H. Rashidi. (2024). Venous thromboembolism in the era of machine learning and artificial intelligence in medicine. Thrombosis Research. 242. 109121–109121. 3 indexed citations
3.
Yin, David, et al.. (2023). Identifying Neutrophil Extracellular Traps (NETs) in Blood Samples Using Peripheral Smear Autoanalyzers. Life. 13(3). 623–623. 1 indexed citations
4.
Rashidi, Hooman H., et al.. (2023). Machine learning in the coagulation and hemostasis arena: an overview and evaluation of methods, review of literature, and future directions. Journal of Thrombosis and Haemostasis. 21(4). 728–743. 21 indexed citations
5.
6.
Cohen, Fred, et al.. (2022). Indeterminate serotonin release assays are associated with a high mortality rate. Research and Practice in Thrombosis and Haemostasis. 6(4). e12667–e12667. 2 indexed citations
7.
Saeed, Omar, Muhammad Farooq, Snehal R. Patel, et al.. (2022). Outcomes With Direct and Indirect Thrombin Inhibition During Extracorporeal Membrane Oxygenation for COVID-19. ASAIO Journal. 68(12). 1428–1433. 5 indexed citations
8.
Ikemura, Kenji, Eran Bellin, Yukako Yagi, et al.. (2021). Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study. Journal of Medical Internet Research. 23(2). e23458–e23458. 59 indexed citations
9.
Saeed, Omar, Sameer Patel, Morayma Reyes Gil, et al.. (2021). Direct versus indirect thrombin inhibition during extracorporeal membrane oxygenation support for covid-19. ASAIO Journal. 67. 18–18. 1 indexed citations
10.
Janebodin, Kajohnkiart, et al.. (2021). Silencing VEGFR-2 Hampers Odontoblastic Differentiation of Dental Pulp Stem Cells. Frontiers in Cell and Developmental Biology. 9. 665886–665886. 15 indexed citations
11.
Gil, Morayma Reyes, Jesus D. Gonzalez‐Lugo, Shafia Rahman, et al.. (2021). Correlation of Coagulation Parameters With Clinical Outcomes During the Coronavirus-19 Surge in New York: Observational Cohort. Frontiers in Physiology. 12. 618929–618929. 10 indexed citations
12.
Campbell, Sean, Erika P. Orner, Morayma Reyes Gil, et al.. (2021). Mater Artium Necessitas: The Birth of a COVID-19 Command Center. Academic Pathology. 8. 2466114739–2466114739. 2 indexed citations
13.
Golestaneh, Ladan, Joel Neugarten, Molly Fisher, et al.. (2020). The association of race and COVID-19 mortality. EClinicalMedicine. 25. 100455–100455. 178 indexed citations
14.
Ikemura, Kenji, et al.. (2020). Neutrophilic Extracellular Traps (NETs); A Subset of Smudge Cells Identifiable by Peripheral Smear Autoanalyzers in the Rising Era of Artificial Intelligence. American Journal of Clinical Pathology. 154(Supplement_1). S10–S11. 1 indexed citations
15.
Gil, Morayma Reyes, et al.. (2020). Coagulation Testing Gone Awry; Effect of Direct Oral Anticoagulant (DOAC) Removal on Lupus Anticoagulant Assays. American Journal of Clinical Pathology. 154(Supplement_1). S11–S11.
16.
Ghias, Mondana, et al.. (2019). 1010 Anemia in hidradenitis suppurativa, hepcidin as a diagnostic tool. Journal of Investigative Dermatology. 139(5). S175–S175. 1 indexed citations
17.
Saeed, Omar, William Jakobleff, S. Forest, et al.. (2019). Hemolysis and Nonhemorrhagic Stroke During Venoarterial Extracorporeal Membrane Oxygenation. The Annals of Thoracic Surgery. 108(3). 756–763. 21 indexed citations
18.
Billett, Henny H., et al.. (2019). Neutrophil Extracellular Traps (NETs) Are a Subset of Smudge Cells Identifiable By Peripheral Smear Autoanalyzers. Blood. 134(Supplement_1). 2321–2321.
19.
Hu, Shaomin, et al.. (2019). A Center-Wide Study of D-Dimer Testing for Pulmonary Embolism in the ED Setting. American Journal of Clinical Pathology. 152(Supplement_1). S15–S15. 1 indexed citations
20.
Labovitz, Daniel, et al.. (2017). Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy. Stroke. 48(5). 1416–1419. 192 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Arya Aminorroaya Breakdown of academic impact, for papers by Joel Park Breakdown of academic impact, for papers by Wei Tse Li Breakdown of academic impact, for papers by Veena G Jones Breakdown of academic impact, for papers by Venkatesh Avula Breakdown of academic impact, for papers by Rebecca A. Marmor Breakdown of academic impact, for papers by Amirali Karimi Breakdown of academic impact, for papers by Amy M. Sitapati Breakdown of academic impact, for papers by Soheil Kooraki Breakdown of academic impact, for papers by Kamal Kant Sahu
Rankless by CCL
2026