Kyle Walsh

1.2k total citations
36 papers, 708 citations indexed

About

Kyle Walsh is a scholar working on Epidemiology, Neurology and Molecular Biology. According to data from OpenAlex, Kyle Walsh has authored 36 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 13 papers in Neurology and 11 papers in Molecular Biology. Recurrent topics in Kyle Walsh's work include Acute Ischemic Stroke Management (16 papers), Intracerebral and Subarachnoid Hemorrhage Research (11 papers) and Neurosurgical Procedures and Complications (5 papers). Kyle Walsh is often cited by papers focused on Acute Ischemic Stroke Management (16 papers), Intracerebral and Subarachnoid Hemorrhage Research (11 papers) and Neurosurgical Procedures and Complications (5 papers). Kyle Walsh collaborates with scholars based in United States, Israel and Italy. Kyle Walsh's co-authors include Opeolu Adeoye, Daniel Woo, Arnold Schwartz, S. H. Bryant, Charles J. Moomaw, Carl D. Langefeld, Padmini Sekar, Jennifer Osborne, Alexander H. Toledo and Luis H. Toledo‐Pereyra and has published in prestigious journals such as Circulation, Neurology and Stroke.

In The Last Decade

Kyle Walsh

35 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle Walsh United States 15 287 256 190 95 71 36 708
Juan J. Cáceres Spain 15 247 0.9× 238 0.9× 152 0.8× 24 0.3× 67 0.9× 62 643
Yogeshwar Kalkonde United States 16 152 0.5× 326 1.3× 75 0.4× 106 1.1× 158 2.2× 41 876
Hilda Ahnstedt United States 18 174 0.6× 145 0.6× 211 1.1× 132 1.4× 256 3.6× 30 878
Jia‐Shu Chen United States 18 135 0.5× 85 0.3× 223 1.2× 50 0.5× 39 0.5× 72 840
Osamu Yamamura Japan 16 257 0.9× 85 0.3× 225 1.2× 21 0.2× 71 1.0× 91 860
Leslie Ritter United States 18 71 0.2× 202 0.8× 155 0.8× 137 1.4× 218 3.1× 40 855
Junko Ikeda Japan 12 107 0.4× 75 0.3× 89 0.5× 48 0.5× 41 0.6× 57 547
Ansley Grimes Stanfill United States 14 107 0.4× 146 0.6× 118 0.6× 20 0.2× 32 0.5× 44 612
Noelle Lucke-Wold United States 14 95 0.3× 297 1.2× 115 0.6× 68 0.7× 111 1.6× 17 591

Countries citing papers authored by Kyle Walsh

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Walsh

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Walsh. A scholar is included among the top collaborators of Kyle Walsh 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 Kyle Walsh. Kyle Walsh 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.
Vagal, Achala, Heidi Sucharew, Lily Wang, et al.. (2023). Trends in Disparities in Advanced Neuroimaging Utilization in Acute Stroke: A Population-Based Study. Stroke. 54(4). 1001–1008. 4 indexed citations
2.
O’Connell, Grant C., Kyle Walsh, Suebsarn Ruksakulpiwat, et al.. (2022). Use of deep artificial neural networks to identify stroke during triage via subtle changes in circulating cell counts. BMC Neurology. 22(1). 206–206. 8 indexed citations
3.
Robinson, David, Robert J. Stanton, Heidi Sucharew, et al.. (2022). Racial Disparities in Stroke Recurrence. Neurology. 99(22). e2464–e2473. 16 indexed citations
4.
Walsh, Kyle, Kip D. Zimmerman, Xiang Zhang, et al.. (2021). miR-181a Mediates Inflammatory Gene Expression After Intracerebral Hemorrhage: An Integrated Analysis of miRNA-seq and mRNA-seq in a Swine ICH Model. Journal of Molecular Neuroscience. 71(9). 1802–1814. 7 indexed citations
5.
Robinson, David, Soo Young Kwon, Elisheva Coleman, et al.. (2021). What is the median volume of intracerebral hemorrhage and is it changing?. International Journal of Stroke. 17(5). 576–582. 6 indexed citations
6.
Walsh, Kyle, Xiang Zhang, Xiaoting Zhu, et al.. (2019). Intracerebral Hemorrhage Induces Inflammatory Gene Expression in Peripheral Blood: Global Transcriptional Profiling in Intracerebral Hemorrhage Patients. DNA and Cell Biology. 38(7). 660–669. 40 indexed citations
7.
O’Connell, Grant C., Phillip Stafford, Kyle Walsh, Opeolu Adeoye, & Taura L. Barr. (2019). High-Throughput Profiling of Circulating Antibody Signatures for Stroke Diagnosis Using Small Volumes of Whole Blood. Neurotherapeutics. 16(3). 868–877. 6 indexed citations
8.
Leasure, Audrey C., Adnan I. Qureshi, Santosh B. Murthy, et al.. (2019). Intensive Blood Pressure Reduction and Perihematomal Edema Expansion in Deep Intracerebral Hemorrhage. Stroke. 50(8). 2016–2022. 31 indexed citations
9.
Walsh, Kyle, Xiang Zhang, Xiaoting Zhu, et al.. (2019). Intracerebral hemorrhage induces monocyte-related gene expression within six hours: Global transcriptional profiling in swine ICH. Metabolic Brain Disease. 34(3). 763–774. 12 indexed citations
10.
11.
O’Connell, Grant C., et al.. (2018). High-throughput profiling of the circulating proteome suggests sexually dimorphic corticosteroid signaling following ischemic stroke. Physiological Genomics. 50(10). 876–883. 7 indexed citations
12.
Walsh, Kyle, et al.. (2017). The metal and metalloprotein profile of human plasma as biomarkers for stroke diagnosis. Journal of Trace Elements in Medicine and Biology. 42. 81–91. 11 indexed citations
13.
Walsh, Kyle, Begoña Campos, Kimberly W. Hart, Charuhas V. Thakar, & Opeolu Adeoye. (2017). M2 Monocyte Microparticles Are Increased in Intracerebral Hemorrhage. Journal of Stroke and Cerebrovascular Diseases. 26(10). 2369–2375. 14 indexed citations
14.
Walsh, Kyle, Daniel Woo, Padmini Sekar, et al.. (2016). Untreated Hypertension. Circulation. 134(19). 1444–1452. 50 indexed citations
15.
Walsh, Kyle, Kimberly W. Hart, Matthew Sperling, et al.. (2016). Apolipoprotein A-I and Paraoxonase-1 Are Potential Blood Biomarkers for Ischemic Stroke Diagnosis. Journal of Stroke and Cerebrovascular Diseases. 25(6). 1360–1365. 22 indexed citations
16.
Claus, Elizabeth B., Lisa Calvocoressi, Joellen M. Schildkraut, et al.. (2016). MNGO-11. REPORT FROM THE MENINGIOMA CONSORTIUM: CONFIRMATION OF A MENINGIOMA RISK LOCUS AT 10p12. Neuro-Oncology. 18(suppl_6). vi103–vi103. 1 indexed citations
17.
Adeoye, Opeolu, Kyle Walsh, Jessica G. Woo, et al.. (2013). Peripheral Monocyte Count Is Associated with Case Fatality after Intracerebral Hemorrhage. Journal of Stroke and Cerebrovascular Diseases. 23(2). e107–e111. 58 indexed citations
18.
Blow, Adrian J., Paul Swiecicki, Janet R. Osuch, et al.. (2011). The Emotional Journey of Women Experiencing a Breast Abnormality. Qualitative Health Research. 21(10). 1316–1334. 33 indexed citations
19.
Dwamena, Francesca C., et al.. (2009). Teaching medical interviewing to patients: The other side of the encounter. Patient Education and Counseling. 76(3). 380–384. 6 indexed citations
20.
Walsh, Kyle, S. H. Bryant, & Arnold Schwartz. (1988). Action of diltiazem on excitation-contraction coupling in bullfrog skeletal muscle fibers.. Journal of Pharmacology and Experimental Therapeutics. 245(2). 531–536. 10 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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