Craig Cady

636 total citations
19 papers, 501 citations indexed

About

Craig Cady is a scholar working on Cellular and Molecular Neuroscience, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Craig Cady has authored 19 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Surgery and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Craig Cady's work include Estrogen and related hormone effects (4 papers), Menopause: Health Impacts and Treatments (4 papers) and Mesenchymal stem cell research (3 papers). Craig Cady is often cited by papers focused on Estrogen and related hormone effects (4 papers), Menopause: Health Impacts and Treatments (4 papers) and Mesenchymal stem cell research (3 papers). Craig Cady collaborates with scholars based in United States, Italy and United Kingdom. Craig Cady's co-authors include Mary E. McAsey, Henry H. Hagedorn, Ashim Gupta, Britto P. Nathan, Robert G. Struble, M. Steven Evans, I.Y. Mahmoud, Gregory J. Brewer, Xiangying Cheng and Venkata Ramesh Dasari and has published in prestigious journals such as Brain Research, International Journal of Molecular Sciences and Experimental Neurology.

In The Last Decade

Craig Cady

18 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Craig Cady United States 15 156 109 67 66 61 19 501
Ruxandra F. Sîrbulescu United States 19 144 0.9× 349 3.2× 65 1.0× 77 1.2× 131 2.1× 37 1.2k
Chelliah Richmonds United States 18 76 0.5× 254 2.3× 48 0.7× 42 0.6× 40 0.7× 28 1.0k
Berry Juliandi Indonesia 11 164 1.1× 368 3.4× 92 1.4× 117 1.8× 49 0.8× 42 751
Nicholas S. Strand United States 9 130 0.8× 299 2.7× 42 0.6× 40 0.6× 56 0.9× 10 607
Tim Ruhl Germany 15 120 0.8× 99 0.9× 77 1.1× 11 0.2× 100 1.6× 39 555
Albert Derby United States 13 275 1.8× 91 0.8× 16 0.2× 38 0.6× 83 1.4× 19 526
David Gurevich United Kingdom 17 31 0.2× 517 4.7× 62 0.9× 41 0.6× 102 1.7× 23 948
Jesús G. Briñón Spain 23 406 2.6× 328 3.0× 170 2.5× 34 0.5× 160 2.6× 56 1.3k
Inna Hughes United States 13 88 0.6× 135 1.2× 11 0.2× 56 0.8× 78 1.3× 15 608
Carla Lucini Italy 16 457 2.9× 203 1.9× 11 0.2× 57 0.9× 128 2.1× 81 899

Countries citing papers authored by Craig Cady

Since Specialization
Citations

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

Fields of papers citing papers by Craig Cady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Cady

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

All Works

19 of 19 papers shown
1.
Cady, Craig, et al.. (2024). Optimization of Polycaprolactone and Type I Collagen Scaffold for Tendon Tissue Regeneration. Cureus. 16(3). e56930–e56930.
2.
Gupta, Ashim, Nicola Maffulli, Hugo C. Rodriguez, et al.. (2021). Cell-free stem cell-derived extract formulation for treatment of knee osteoarthritis: study protocol for a preliminary non-randomized, open-label, multi-center feasibility and safety study. Journal of Orthopaedic Surgery and Research. 16(1). 514–514. 22 indexed citations
3.
Gupta, Ashim, et al.. (2020). Streamlining the KOOS Activities of Daily Living Subscale Using Machine Learning. Orthopaedic Journal of Sports Medicine. 8(3). 1811957871–1811957871. 11 indexed citations
4.
Gupta, Ashim, Craig Cady, Hugo C. Rodriguez, et al.. (2020). Cell-free Stem Cell-Derived Extract Formulation for Regenerative Medicine Applications. International Journal of Molecular Sciences. 21(24). 9364–9364. 44 indexed citations
5.
Lawson, A.C., et al.. (2015). Biocompatibility of human Whartons Jelly Mesenchymal Stem Cells on poly-caprolactone and collagen based nanofiber mats. Zenodo (CERN European Organization for Nuclear Research). 1–2. 1 indexed citations
6.
Gupta, Ashim, Brittany Taylor, Manu Gupta, et al.. (2014). In vitroevaluation of three-dimensional single-walled carbon nanotube composites for bone tissue engineering. Journal of Biomedical Materials Research Part A. 102(11). 4118–4126. 24 indexed citations
7.
Gupta, Ashim, Mia D. Woods, Kenneth D. Illingworth, et al.. (2013). Single walled carbon nanotube composites for bone tissue engineering. Journal of Orthopaedic Research®. 31(9). 1374–1381. 40 indexed citations
8.
Dasari, Venkata Ramesh, Daniel G. Spomar, Craig Cady, et al.. (2007). Mesenchymal Stem Cells from Rat Bone Marrow Downregulate Caspase-3-mediated Apoptotic Pathway After Spinal Cord Injury in Rats. Neurochemical Research. 32(12). 2080–2093. 66 indexed citations
9.
Cheng, Xiangying, Mary E. McAsey, Miao Li, et al.. (2007). Estradiol replacement increases the low-density lipoprotein receptor related protein (LRP) in the mouse brain. Neuroscience Letters. 417(1). 50–54. 18 indexed citations
10.
Struble, Robert G., et al.. (2006). Neocortical and Hippocampal Glial Fibrillary Acidic Protein Immunoreactivity Shows Region-Specific Variation during the Mouse Estrous Cycle. Neuroendocrinology. 83(5-6). 325–335. 13 indexed citations
11.
Struble, Robert G., Britto P. Nathan, Craig Cady, Xiangying Cheng, & Mary E. McAsey. (2006). Estradiol regulation of astroglia and apolipoprotein E: An important role in neuronal regeneration. Experimental Gerontology. 42(1-2). 54–63. 42 indexed citations
12.
Evans, M. Steven, et al.. (2006). Three Brief Epileptic Seizures Reduce Inhibitory Synaptic Currents, GABAACurrents, and GABAA‐Receptor Subunits. Epilepsia. 47(10). 1655–1664. 14 indexed citations
13.
14.
Cady, Craig, M. Steven Evans, & Gregory J. Brewer. (2001). Age-related differences in NMDA responses in cultured rat hippocampal neurons. Brain Research. 921(1-2). 1–11. 31 indexed citations
15.
McManus, Dennis Q., et al.. (2001). Temperature and time interval for culture of postmortem neurons from adult rat cortex. Journal of Neuroscience Research. 64(4). 311–321. 17 indexed citations
16.
Cady, Craig & Henry H. Hagedorn. (1999). Effects of putative diuretic factors on intracellular second messenger levels in the Malpighian tubules of Aedes aegypti. Journal of Insect Physiology. 45(4). 327–337. 30 indexed citations
17.
Cady, Craig & Henry H. Hagedorn. (1999). The effect of putative diuretic factors on in vivo urine production in the mosquito, Aedes aegypti. Journal of Insect Physiology. 45(4). 317–325. 23 indexed citations
18.
Mahmoud, I.Y., Louis J. Guillette, Mary E. McAsey, & Craig Cady. (1989). Stress-induced changes in serum testosterone, estradiol-17β and progesterone in the turtle, Chelydra serpentina. Comparative Biochemistry and Physiology Part A Physiology. 93(2). 423–427. 43 indexed citations
19.
Mahmoud, I.Y., et al.. (1988). The role of arginine vasotocin and prostaglandin F2α on oviposition and luteolysis in the common snapping turtle Chelydra serpentina. General and Comparative Endocrinology. 69(1). 56–64. 24 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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