Ty R. Shockley

1.0k total citations
27 papers, 841 citations indexed

About

Ty R. Shockley is a scholar working on Nephrology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ty R. Shockley has authored 27 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nephrology, 6 papers in Molecular Biology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ty R. Shockley's work include Dialysis and Renal Disease Management (12 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). Ty R. Shockley is often cited by papers focused on Dialysis and Renal Disease Management (12 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). Ty R. Shockley collaborates with scholars based in United States, Canada and Australia. Ty R. Shockley's co-authors include Catherine M. Hoff, Clifford J. Holmes, Martin L. Yarmush, Harold F. Dvorak, Jack Gauldie, Martin Kolb, Peter J. Margetts, Robert L. Dedrick, Cynthia Sung and Ronald G. Tompkins and has published in prestigious journals such as Annals of the New York Academy of Sciences, Kidney International and Hypertension.

In The Last Decade

Ty R. Shockley

27 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ty R. Shockley United States 15 448 244 181 160 126 27 841
Tadayoshi Kunitomo Japan 11 226 0.5× 192 0.8× 505 2.8× 72 0.5× 157 1.2× 25 1.1k
G Raabe Germany 9 335 0.7× 159 0.7× 78 0.4× 115 0.7× 155 1.2× 24 780
Malcolm Davies United Kingdom 11 357 0.8× 345 1.4× 163 0.9× 15 0.1× 233 1.8× 11 933
Jensen Pb Denmark 11 291 0.6× 97 0.4× 110 0.6× 36 0.2× 144 1.1× 35 663
F. W. Ballardie United Kingdom 17 476 1.1× 74 0.3× 221 1.2× 37 0.2× 250 2.0× 37 925
Kolitha Basnayake United Kingdom 13 233 0.5× 84 0.3× 445 2.5× 42 0.3× 40 0.3× 18 731
Marios Salmas Greece 15 93 0.2× 188 0.8× 170 0.9× 26 0.2× 66 0.5× 41 532
Kouju Kamata Japan 16 275 0.6× 81 0.3× 107 0.6× 40 0.3× 110 0.9× 65 559
Levinus B. A. van de Putte Netherlands 21 62 0.1× 158 0.6× 164 0.9× 123 0.8× 66 0.5× 37 1.4k
Laura Cosmai Italy 21 234 0.5× 158 0.6× 325 1.8× 57 0.4× 514 4.1× 56 997

Countries citing papers authored by Ty R. Shockley

Since Specialization
Citations

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

Fields of papers citing papers by Ty R. Shockley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ty R. Shockley. 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 Ty R. Shockley. The network helps show where Ty R. Shockley may publish in the future.

Co-authorship network of co-authors of Ty R. Shockley

This figure shows the co-authorship network connecting the top 25 collaborators of Ty R. Shockley. A scholar is included among the top collaborators of Ty R. Shockley 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 Ty R. Shockley. Ty R. Shockley 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.
Li, Philip Kam‐Tao, Bruce F. Culleton, Jun-Young Do, et al.. (2013). Randomized, Controlled Trial of Glucose-Sparing Peritoneal Dialysis in Diabetic Patients. Journal of the American Society of Nephrology. 24(11). 1889–1900. 99 indexed citations
2.
Bonomini, Mario, Lorenzo Di Liberato, Giancarlo Marinangeli, et al.. (2013). Effect of an l-Carnitine–Containing Peritoneal Dialysate on Insulin Sensitivity in Patients Treated With CAPD: A 4-Month, Prospective, Multicenter Randomized Trial. American Journal of Kidney Diseases. 62(5). 929–938. 37 indexed citations
3.
Hoff, Catherine M. & Ty R. Shockley. (2002). Peritoneal dialysis in the 21st century: the potential of gene therapy.. PubMed. 13 Suppl 1. S117–24. 16 indexed citations
4.
Hoff, Catherine M. & Ty R. Shockley. (2002). Peritoneal Dialysis in the 21st Century. Journal of the American Society of Nephrology. 13(suppl_1). S117–S124. 15 indexed citations
5.
Margetts, Peter J., et al.. (2001). Gene Transfer of Transforming Growth Factor-β1 to the Rat Peritoneum. Journal of the American Society of Nephrology. 12(10). 2029–2039. 181 indexed citations
6.
Holmes, Clifford J. & Ty R. Shockley. (2000). Strategies to Reduce Glucose Exposure in Peritoneal Dialysis Patients. Peritoneal Dialysis International. 20(2_suppl). 37–41. 77 indexed citations
7.
Shockley, Ty R., Leo Martis, & Anders Tranæus. (1999). New Solutions for Peritoneal Dialysis in Adult and Pediatric Patients. Peritoneal Dialysis International. 19(2_suppl). 429–434. 11 indexed citations
8.
Hoff, Catherine M. & Ty R. Shockley. (1999). The Potential of Gene Therapy in the Peritoneal Cavity. Peritoneal Dialysis International. 19(2_suppl). 202–207. 9 indexed citations
9.
Burke, Ronald A. & Ty R. Shockley. (1998). Quantitation of dextran 70 in peritoneal dialysate from patients administered 7.5% polyglucose. Journal of Chromatography B Biomedical Sciences and Applications. 718(1). 115–120. 1 indexed citations
10.
11.
Burke, Ronald A., et al.. (1997). Direct determination of polyglucose metabolites in plasma using anion-exchange chromatography with pulsed amperometric detection. Journal of Chromatography B. 693(2). 353–357. 2 indexed citations
12.
Burke, Ronald A., et al.. (1997). Direct determination of polyglucose metabolites in plasma using anion-exchange chromatography with pulsed amperometric detection. Journal of Chromatography B Biomedical Sciences and Applications. 693(2). 353–357. 10 indexed citations
13.
Shockley, Ty R., Tao Wang, & Bengt Lindholm. (1997). Future Clinical Research with Icodextrin-Containing Solutions. Peritoneal Dialysis International. 17(2_suppl). 70–74. 4 indexed citations
14.
Faller, B, Ty R. Shockley, Sandrine Genestier, & Leo Martis. (1997). Polyglucose and Amino Acids: Preliminary Results. Peritoneal Dialysis International. 17(2_suppl). 63–67. 15 indexed citations
15.
Leypoldt, John K., et al.. (1995). Ultrafiltration and solute kinetics using low sodium peritoneal dialysate. Kidney International. 48(6). 1959–1966. 38 indexed citations
16.
Shockley, Ty R., et al.. (1992). Compartmental distribution of tumor-specific monoclonal antibodies in human melanoma xenografts.. PubMed. 52(2). 2269–76. 52 indexed citations
17.
Shockley, Ty R. & Norma J. Ofsthun. (1992). Pathways for Fluid Loss from the Peritoneal Cavity. Blood Purification. 10(3-4). 115–121. 26 indexed citations
18.
Shockley, Ty R., Ke Lin, Janice A. Nagy, et al.. (1991). Penetration of Tumor Tissue by Antibodies and Other Immunoproteins. Annals of the New York Academy of Sciences. 618(1). 367–382. 48 indexed citations
19.
Shockley, Ty R. & Martin L. Yarmush. (1990). Growth of tumor cells within microporous hollow fibers: An in vitro model system for studies of immunoprotein transport. Biotechnology and Bioengineering. 35(8). 843–849. 7 indexed citations
20.
Shockley, Ty R., et al.. (1990). Equilibrium Binding Characteristics of Monoclonal Antibodies Recognizing Melanoma Cell Surface Antigens. Hybridoma. 9(6). 527–544. 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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