Henry W. Caplan

749 total citations
16 papers, 535 citations indexed

About

Henry W. Caplan is a scholar working on Neurology, Neurology and Genetics. According to data from OpenAlex, Henry W. Caplan has authored 16 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 8 papers in Neurology and 4 papers in Genetics. Recurrent topics in Henry W. Caplan's work include Traumatic Brain Injury and Neurovascular Disturbances (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Mesenchymal stem cell research (4 papers). Henry W. Caplan is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Mesenchymal stem cell research (4 papers). Henry W. Caplan collaborates with scholars based in United States, Denmark and Germany. Henry W. Caplan's co-authors include Charles S. Cox, Supinder S. Bedi, Karthik S. Prabhakara, Scott D. Olson, Naama E. Toledano Furman, Akshita Kumar, Fabio Triolo, Julian Kamhieh‐Milz, Mitchell J. George and Guido Moll and has published in prestigious journals such as PLoS ONE, Brain and Scientific Reports.

In The Last Decade

Henry W. Caplan

16 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henry W. Caplan United States 11 181 178 163 125 89 16 535
Robert A. Hetz United States 10 141 0.8× 195 1.1× 238 1.5× 130 1.0× 58 0.7× 21 529
Kaushik Parsha United States 14 159 0.9× 200 1.1× 240 1.5× 223 1.8× 95 1.1× 25 748
Azadeh Farin United States 10 139 0.8× 134 0.8× 221 1.4× 51 0.4× 113 1.3× 15 677
Wen Ru Yu Sweden 10 153 0.8× 79 0.4× 99 0.6× 85 0.7× 178 2.0× 12 816
Soroush Doostkam Germany 16 246 1.4× 196 1.1× 121 0.7× 50 0.4× 96 1.1× 43 807
L. Pellegrini France 7 173 1.0× 72 0.4× 140 0.9× 40 0.3× 78 0.9× 14 518
Loren E. Glover United States 11 229 1.3× 244 1.4× 90 0.6× 141 1.1× 81 0.9× 13 603
Fanfan Chen China 9 186 1.0× 231 1.3× 164 1.0× 79 0.6× 75 0.8× 41 585
Lasse Dührsen Germany 16 155 0.9× 188 1.1× 160 1.0× 26 0.2× 88 1.0× 54 626
Lucy A. Murtha Australia 15 161 0.9× 32 0.2× 217 1.3× 50 0.4× 103 1.2× 21 719

Countries citing papers authored by Henry W. Caplan

Since Specialization
Citations

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

Fields of papers citing papers by Henry W. Caplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henry W. Caplan. 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 Henry W. Caplan. The network helps show where Henry W. Caplan may publish in the future.

Co-authorship network of co-authors of Henry W. Caplan

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

All Works

16 of 16 papers shown
1.
Cox, Charles S., David M. Notrica, Jenifer Juranek, et al.. (2024). Autologous bone marrow mononuclear cells to treat severe traumatic brain injury in children. Brain. 147(5). 1914–1925. 7 indexed citations
2.
Bedi, Supinder S., Akshita Kumar, Henry W. Caplan, et al.. (2023). PET imaging of microglia using PBR28suv determines therapeutic efficacy of autologous bone marrow mononuclear cells therapy in traumatic brain injury. Scientific Reports. 13(1). 16142–16142. 1 indexed citations
3.
Gottlieb, Assaf, Naama E. Toledano Furman, Karthik S. Prabhakara, et al.. (2022). Time dependent analysis of rat microglial surface markers in traumatic brain injury reveals dynamics of distinct cell subpopulations. Scientific Reports. 12(1). 6289–6289. 20 indexed citations
4.
Cox, Charles S., Jenifer Juranek, Claudia Pedroza, et al.. (2022). Autologous cellular therapy for cerebral palsy: a randomized, crossover trial. Brain Communications. 4(3). fcac131–fcac131. 13 indexed citations
5.
Caplan, Henry W., Karthik S. Prabhakara, Naama E. Toledano Furman, et al.. (2021). Human-derived Treg and MSC combination therapy may augment immunosuppressive potency in vitro, but did not improve blood brain barrier integrity in an experimental rat traumatic brain injury model. PLoS ONE. 16(5). e0251601–e0251601. 9 indexed citations
6.
George, Mitchell J., Kevin Aroom, Henry W. Caplan, et al.. (2021). Microelectromechanical System Measurement of Platelet Contraction: Direct Interrogation of Myosin Light Chain Phosphorylation. International Journal of Molecular Sciences. 22(12). 6448–6448. 3 indexed citations
7.
Furman, Naama E. Toledano, Assaf Gottlieb, Karthik S. Prabhakara, et al.. (2020). High-resolution and differential analysis of rat microglial markers in traumatic brain injury: conventional flow cytometric and bioinformatics analysis. Scientific Reports. 10(1). 11991–11991. 27 indexed citations
8.
Caplan, Henry W., Karthik S. Prabhakara, Naama E. Toledano Furman, et al.. (2020). Combination therapy with Treg and mesenchymal stromal cells enhances potency and attenuation of inflammation after traumatic brain injury compared to monotherapy. Stem Cells. 39(3). 358–370. 27 indexed citations
9.
Caplan, Henry W., et al.. (2020). Spatiotemporal Distribution of Microglia After Traumatic Brain Injury in Male Mice. ASN NEURO. 12(1). 1665489050–1665489050. 22 indexed citations
10.
Caplan, Henry W., Karthik S. Prabhakara, Akshita Kumar, et al.. (2020). Human cord blood-derived regulatory T-cell therapy modulates the central and peripheral immune response after traumatic brain injury. Stem Cells Translational Medicine. 9(8). 903–916. 25 indexed citations
11.
Caplan, Henry W., Scott D. Olson, Akshita Kumar, et al.. (2019). Mesenchymal Stromal Cell Therapeutic Delivery: Translational Challenges to Clinical Application. Frontiers in Immunology. 10. 1645–1645. 226 indexed citations
12.
Caplan, Henry W. & Charles S. Cox. (2019). Resuscitation Strategies for Traumatic Brain Injury. Current Surgery Reports. 7(7). 13 indexed citations
13.
Bedi, Supinder S., George P. Liao, Henry W. Caplan, et al.. (2018). Therapeutic time window of multipotent adult progenitor therapy after traumatic brain injury. Journal of Neuroinflammation. 15(1). 84–84. 39 indexed citations
14.
Liras, Ioannis N., Henry W. Caplan, Jakob Stensballe, et al.. (2017). Prevalence and Impact of Admission Acute Traumatic Coagulopathy on Treatment Intensity, Resource Use, and Mortality: An Evaluation of 956 Severely Injured Children and Adolescents. Journal of the American College of Surgeons. 224(4). 625–632. 28 indexed citations
15.
Caplan, Henry W., Charles S. Cox, & Supinder S. Bedi. (2016). Do microglia play a role in sex differences in TBI?. Journal of Neuroscience Research. 95(1-2). 509–517. 70 indexed citations
16.
Fleming, Thomas C., Henry W. Caplan, George A. Hyman, & F. D. Kitchin. (1967). ABO blood groups and polyps of the colon.. BMJ. 4(5578). 526–527. 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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