Maya Serhal

815 total citations
9 papers, 116 citations indexed

About

Maya Serhal is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Internal Medicine. According to data from OpenAlex, Maya Serhal has authored 9 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Surgery and 4 papers in Internal Medicine. Recurrent topics in Maya Serhal's work include Venous Thromboembolism Diagnosis and Management (4 papers), Peripheral Artery Disease Management (3 papers) and Acute Ischemic Stroke Management (2 papers). Maya Serhal is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (4 papers), Peripheral Artery Disease Management (3 papers) and Acute Ischemic Stroke Management (2 papers). Maya Serhal collaborates with scholars based in United States, Canada and Germany. Maya Serhal's co-authors include Geoffrey D. Barnes, John R. Bartholomew, Ihab Haddadin, Gustavo A. Heresi, Mehdi H. Shishehbor, Esther Kim, Chris T. Longenecker, Natalie Evans, Marcelo Gomes and Bernard Silver and has published in prestigious journals such as Journal of the American College of Cardiology, Journal of Vascular Surgery and Journal of Cardiovascular Pharmacology.

In The Last Decade

Maya Serhal

9 papers receiving 115 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maya Serhal United States	6	79	52	41	23	17	9	116
L.M. van der Pol Netherlands	8	106 1.3×	59 1.1×	26 0.6×	24 1.0×	23 1.4×	10	137
Andrew Lehr United States	4	43 0.5×	26 0.5×	28 0.7×	10 0.4×	15 0.9×	8	74
Boris Džudović Serbia	8	82 1.0×	81 1.6×	34 0.8×	22 1.0×	10 0.6×	40	120
Andrew Barros United States	7	37 0.5×	19 0.4×	46 1.1×	12 0.5×	14 0.8×	24	152
Jean-Baptiste Lascarrou France	5	22 0.3×	35 0.7×	19 0.5×	13 0.6×	7 0.4×	6	108
Tyler Bloomer United States	3	88 1.1×	46 0.9×	44 1.1×	14 0.6×	22 1.3×	5	96
Michael G. Sarosi United States	3	59 0.7×	18 0.3×	11 0.3×	20 0.9×	33 1.9×	6	82
Jonathan Marey France	4	49 0.6×	34 0.7×	13 0.3×	6 0.3×	23 1.4×	4	75
Antonious Attallah United States	5	24 0.3×	25 0.5×	13 0.3×	30 1.3×	7 0.4×	10	51
Masahito Sakai Japan	5	62 0.8×	46 0.9×	10 0.2×	71 3.1×	12 0.7×	12	117

Countries citing papers authored by Maya Serhal

Since Specialization

Citations

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

Fields of papers citing papers by Maya Serhal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Serhal

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

All Works

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9 of 9 papers shown

1.

Bonaca, Marc P., Geoffrey D. Barnes, Rupert Bauersachs, et al.. (2024). Antithrombotic Strategies for Patients With Peripheral Artery Disease. Journal of the American College of Cardiology. 84(10). 936–952. 3 indexed citations

2.

Serhal, Maya, et al.. (2022). SVM Communications: Supervised exercise therapy for symptomatic peripheral artery disease – A conversation with the experts. Vascular Medicine. 27(2). 214–216. 2 indexed citations

3.

Serhal, Maya & Geoffrey D. Barnes. (2019). Venous thromboembolism: A clinician update. Vascular Medicine. 24(2). 122–131. 21 indexed citations

4.

Haddadin, Ihab, Natalie Evans, Marcelo Gomes, et al.. (2018). A pulmonary embolism response team (PERT) approach: initial experience from the Cleveland Clinic. Journal of Thrombosis and Thrombolysis. 46(2). 186–192. 40 indexed citations

5.

Serhal, Maya, et al.. (2017). Pulmonary embolism response teams. Journal of Thrombosis and Thrombolysis. 44(1). 19–29. 22 indexed citations

6.

Sharma, Aditya, et al.. (2017). Presentation, clinical features, and results of intervention in upper extremity fibromuscular dysplasia. Journal of Vascular Surgery. 66(2). 554–563. 8 indexed citations

7.

Kim, Esther & Maya Serhal. (2016). The Diagnosis and Treatment of Fibromuscular Dysplasia: An Update for Cardiologists. Current Treatment Options in Cardiovascular Medicine. 18(6). 37–37. 8 indexed citations

8.

Serhal, Maya, et al.. (2015). Termination of Atrial Flutter and Fibrillation by K201ʼs Metabolite M-II. Journal of Cardiovascular Pharmacology. 65(5). 494–499. 8 indexed citations

9.

Serhal, Maya & Chris T. Longenecker. (2014). Preventing Heart Failure in Inflammatory and Immune Disorders. Current Cardiovascular Risk Reports. 8(8). 4 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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