Stephen E. Sherman

737 total citations
27 papers, 544 citations indexed

About

Stephen E. Sherman is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Stephen E. Sherman has authored 27 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 10 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Stephen E. Sherman's work include Mesenchymal stem cell research (9 papers), Pain Mechanisms and Treatments (9 papers) and Pancreatic function and diabetes (6 papers). Stephen E. Sherman is often cited by papers focused on Mesenchymal stem cell research (9 papers), Pain Mechanisms and Treatments (9 papers) and Pancreatic function and diabetes (6 papers). Stephen E. Sherman collaborates with scholars based in Canada, United States and Belgium. Stephen E. Sherman's co-authors include Christopher W. Loomis, David A. Hess, Jonathan O. Dostrovsky, Lei Luo, Tyler T. Cooper, Gillian I. Bell, Gilles Lajoie, Miljan Kuljanin, Frank W. Cervenko and Brian Milne and has published in prestigious journals such as Biomaterials, Journal of Neurophysiology and Brain Research.

In The Last Decade

Stephen E. Sherman

27 papers receiving 536 citations

Peers

Stephen E. Sherman
Taiga Shibata Japan
Katharina L. Kynast Germany
Nádia Pereira Gonçalves Portugal
Miwako Katagi Japan
Bhagat Singh India
Raquel Ferrer‐Lorente Spain
Lisa M. McGinley United States
Kesi Shi China
Rocío González‐Corrochano Spain
Taiga Shibata Japan
Stephen E. Sherman
Citations per year, relative to Stephen E. Sherman Stephen E. Sherman (= 1×) peers Taiga Shibata

Countries citing papers authored by Stephen E. Sherman

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Sherman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. Sherman. 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 Stephen E. Sherman. The network helps show where Stephen E. Sherman may publish in the future.

Co-authorship network of co-authors of Stephen E. Sherman

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen E. Sherman. A scholar is included among the top collaborators of Stephen E. Sherman 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 Stephen E. Sherman. Stephen E. Sherman 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.
Cooper, Tyler T., Stephen E. Sherman, Gillian I. Bell, et al.. (2021). Ultrafiltration and Injection of Islet Regenerative Stimuli Secreted by Pancreatic Mesenchymal Stromal Cells. Stem Cells and Development. 30(5). 247–264. 9 indexed citations
2.
Zhang, Guihua, Miljan Kuljanin, Stephen E. Sherman, et al.. (2021). Embryonic protein NODAL regulates the breast tumor microenvironment by reprogramming cancer-derived secretomes. Neoplasia. 23(4). 375–390. 6 indexed citations
3.
Sherman, Stephen E., Miljan Kuljanin, Tyler T. Cooper, Gilles Lajoie, & David A. Hess. (2020). Purification and Functional Characterization of CD34-Expressing Cell Subsets Following Ex Vivo Expansion of Umbilical Cord Blood-Derived Endothelial Colony-Forming Cells. Stem Cells and Development. 29(14). 895–910. 2 indexed citations
4.
Cooper, Tyler T., Stephen E. Sherman, Gillian I. Bell, et al.. (2020). Characterization of a Vimentinhigh/Nestinhigh proteome and tissue regenerative secretome generated by human pancreas-derived mesenchymal stromal cells. Stem Cells. 38(5). 666–682. 17 indexed citations
5.
Sherman, Stephen E. & Judith Agudo. (2020). Immune-Mediated Specific Depletion of Intestinal Stem Cells. Methods in molecular biology. 2171. 25–39. 3 indexed citations
6.
Young, Stuart, Stephen E. Sherman, Tyler T. Cooper, et al.. (2018). Mechanically resilient injectable scaffolds for intramuscular stem cell delivery and cytokine release. Biomaterials. 159. 146–160. 47 indexed citations
7.
Sherman, Stephen E., Gillian I. Bell, Hwee Teoh, et al.. (2018). Canagliflozin Improves the Recovery of Blood Flow in an Experimental Model of Severe Limb Ischemia. JACC Basic to Translational Science. 3(2). 327–329. 20 indexed citations
8.
9.
Kuljanin, Miljan, Gillian I. Bell, Stephen E. Sherman, Gilles Lajoie, & David A. Hess. (2017). Proteomic characterisation reveals active Wnt-signalling by human multipotent stromal cells as a key regulator of beta cell survival and proliferation. Diabetologia. 60(10). 1987–1998. 21 indexed citations
10.
11.
Sherman, Stephen E., Miljan Kuljanin, Tyler T. Cooper, et al.. (2017). High Aldehyde Dehydrogenase Activity Identifies a Subset of Human Mesenchymal Stromal Cells with Vascular Regenerative Potential. Stem Cells. 35(6). 1542–1553. 39 indexed citations
12.
Putman, David M., et al.. (2017). Expansion of Umbilical Cord Blood Aldehyde Dehydrogenase Expressing Cells Generates Myeloid Progenitor Cells that Stimulate Limb Revascularization. Stem Cells Translational Medicine. 6(7). 1607–1619. 18 indexed citations
13.
Lavoie, Jessie R., Gauri Muradia, Gillian I. Bell, et al.. (2016). Brief Report: Elastin Microfibril Interface 1 and Integrin-Linked Protein Kinase Are Novel Markers of Islet Regenerative Function in Human Multipotent Mesenchymal Stromal Cells. Stem Cells. 34(8). 2249–2255. 14 indexed citations
14.
Sherman, Stephen E. & Christopher W. Loomis. (1996). Strychnine-sensitive modulation is selective for non-noxious somatosensory input in the spinal cord of the rat. Pain. 66(2). 321–330. 45 indexed citations
15.
Sherman, Stephen E. & Christopher W. Loomis. (1995). Strychnine-dependent allodynia in the urethane-anesthetized rat is segmentally distributed and prevented by intrathecal glycine and betaine. Canadian Journal of Physiology and Pharmacology. 73(12). 1698–1705. 36 indexed citations
16.
Sherman, Stephen E. & Christopher W. Loomis. (1994). Morphine insensitive allodynia is produced by intrathecal strychnine in the lightly anesthetized rat. Pain. 56(1). 17–29. 78 indexed citations
17.
Loomis, Christopher W., et al.. (1992). Intrathecal oxymetazoline does not produce neurotoxicity in the spinal cord of the rat. Brain Research. 599(1). 73–82. 4 indexed citations
18.
Sherman, Stephen E., Christopher W. Loomis, Brian Milne, & Frank W. Cervenko. (1988). Intrathecal oxymetazoline produces analgesia via spinal α-adrenoceptors and potentiates spinal morphine. European Journal of Pharmacology. 148(3). 371–380. 23 indexed citations
19.
Sherman, Stephen E., C. W. Loomis, Brian Milne, & Frank W. Cervenko. (1988). Tolerance to intrathecal oxymetazoline-induced analgesia, with paradigm-dependent cross-tolerance to intrathecal morphine.. Journal of Pharmacology and Experimental Therapeutics. 245(1). 319–326. 10 indexed citations
20.
Sherman, Stephen E., Christopher W. Loomis, Brian Milne, & Frank W. Cervenko. (1987). Prolonged spinal analgesia in the rat with the α-adrenoceptor agonist oxymetazoline. European Journal of Pharmacology. 140(1). 25–32. 13 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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