Raymond P. Goodrich

6.0k total citations
118 papers, 4.5k citations indexed

About

Raymond P. Goodrich is a scholar working on Biochemistry, Hematology and Management of Technology and Innovation. According to data from OpenAlex, Raymond P. Goodrich has authored 118 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Biochemistry, 40 papers in Hematology and 30 papers in Management of Technology and Innovation. Recurrent topics in Raymond P. Goodrich's work include Blood transfusion and management (46 papers), Blood donation and transfusion practices (30 papers) and Blood groups and transfusion (21 papers). Raymond P. Goodrich is often cited by papers focused on Blood transfusion and management (46 papers), Blood donation and transfusion practices (30 papers) and Blood groups and transfusion (21 papers). Raymond P. Goodrich collaborates with scholars based in United States, Germany and Canada. Raymond P. Goodrich's co-authors include Susanne Marschner, Shawn D. Keil, Junzhi Li, Heather L. Reddy, Patrick H. Ruane, Matthew S. Platz, Loren D. Fast, Jerard Seghatchian, Heather F. Pidcoke and Christopher Martin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of the American Chemical Society.

In The Last Decade

Raymond P. Goodrich

118 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raymond P. Goodrich United States 37 2.1k 1.5k 1.4k 608 515 118 4.5k
Louis M. Katz United States 25 1.3k 0.6× 830 0.6× 700 0.5× 417 0.7× 540 1.0× 62 3.4k
Denese C. Marks Australia 29 1.1k 0.5× 966 0.7× 689 0.5× 223 0.4× 445 0.9× 135 2.5k
Claes F. Högman Sweden 35 1.6k 0.8× 1.3k 0.9× 736 0.5× 121 0.2× 329 0.6× 139 3.5k
Kenji Tadokoro Japan 42 451 0.2× 915 0.6× 264 0.2× 297 0.5× 127 0.2× 222 5.6k
J. A. J. Barbara United Kingdom 27 511 0.2× 434 0.3× 483 0.3× 235 0.4× 156 0.3× 125 2.9k
Giuliano Grazzini Italy 22 341 0.2× 382 0.3× 267 0.2× 315 0.5× 89 0.2× 72 1.7k
Shawn D. Keil United States 20 458 0.2× 318 0.2× 352 0.3× 211 0.3× 86 0.2× 24 1.3k
Richard Lottenberg United States 34 132 0.1× 2.3k 1.6× 92 0.1× 861 1.4× 106 0.2× 96 4.9k
Sean R. Stowell United States 43 329 0.2× 1.9k 1.3× 74 0.1× 148 0.2× 61 0.1× 211 7.2k
H. Mohr Germany 22 301 0.1× 230 0.2× 178 0.1× 72 0.1× 38 0.1× 60 1.4k

Countries citing papers authored by Raymond P. Goodrich

Since Specialization
Citations

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

Fields of papers citing papers by Raymond P. Goodrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raymond P. Goodrich. 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 Raymond P. Goodrich. The network helps show where Raymond P. Goodrich may publish in the future.

Co-authorship network of co-authors of Raymond P. Goodrich

This figure shows the co-authorship network connecting the top 25 collaborators of Raymond P. Goodrich. A scholar is included among the top collaborators of Raymond P. Goodrich 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 Raymond P. Goodrich. Raymond P. Goodrich 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.
Ragan, Izabela, et al.. (2023). Pathogen reduction of monkeypox virus in plasma and whole blood using riboflavin and UV light. PLoS ONE. 18(1). e0278862–e0278862. 5 indexed citations
2.
3.
Ragan, Izabela, Taru S. Dutt, Andrés Obregón‐Henao, et al.. (2021). A Whole Virion Vaccine for COVID-19 Produced via a Novel Inactivation Method and Preliminary Demonstration of Efficacy in an Animal Challenge Model. Vaccines. 9(4). 340–340. 15 indexed citations
4.
Goodrich, Raymond P., et al.. (2020). Pilot Acute Safety Evaluation of Innocell™ Cancer Immunotherapy in Canine Subjects. Journal of Immunology Research. 2020(1). 7142375–7142375. 4 indexed citations
5.
Taha, Mariam, Brankica Culibrk, M. Kaláb, et al.. (2017). Efficiency of riboflavin and ultraviolet light treatment against high levels of biofilm‐derived Staphylococcus epidermidis in buffy coat platelet concentrates. Vox Sanguinis. 112(5). 408–416. 14 indexed citations
6.
Jackman, Rachael P., Marcus O. Muench, Heather C. Inglis, et al.. (2016). Reduced MHC alloimmunization and partial tolerance protection with pathogen reduction of whole blood. Transfusion. 57(2). 337–348. 12 indexed citations
7.
Keil, Shawn D., Patti Kiser, James J. Sullivan, et al.. (2013). Inactivation of Plasmodium spp. in plasma and platelet concentrates using riboflavin and ultraviolet light. Transfusion. 53(10). 2278–2286. 29 indexed citations
8.
Balint, Bela, et al.. (2013). Plasma constituent integrity in pre-storage vs. post-storage riboflavin and UV-light treatment – A comparative study. Transfusion and Apheresis Science. 49(3). 434–439. 6 indexed citations
9.
Tonnetti, Laura, et al.. (2012). Riboflavin and ultraviolet light reduce the infectivity of Babesia microti in whole blood. Transfusion. 53(4). 860–867. 33 indexed citations
10.
11.
Tonnetti, Laura, et al.. (2011). Evaluating pathogen reduction of Trypanosoma cruzi with riboflavin and ultraviolet light for whole blood. Transfusion. 52(2). 409–416. 35 indexed citations
12.
Janetzko, Karin, et al.. (2009). Evaluation of Different Preparation Procedures of Pathogen Reduction Technology(Mirasol®)-Treated Platelets Collected by Plateletpheresis. Transfusion Medicine and Hemotherapy. 36(5). 309–315. 10 indexed citations
13.
Cardo, Lisa J., et al.. (2007). Pathogen inactivation of Trypanosoma cruzi in plasma and platelet concentrates using riboflavin and ultraviolet light. Transfusion and Apheresis Science. 37(2). 131–137. 73 indexed citations
14.
Goodrich, Raymond P., et al.. (2006). The Mirasol™ PRT system for pathogen reduction of platelets and plasma: An overview of current status and future trends. Transfusion and Apheresis Science. 35(1). 5–17. 156 indexed citations
15.
Rentas, Francisco J., Lloyd E. Lippert, Allen L. Richards, et al.. (2006). Inactivation of Orientia tsutsugamushi in red blood cells, plasma, and platelets with riboflavin and light, as demonstrated in an animal model. Transfusion. 47(2). 240–247. 34 indexed citations
16.
17.
Li, Junzhi, et al.. (2005). Evaluation of platelet mitochondria integrity after treatment with Mirasol pathogen reduction technology. Transfusion. 45(6). 920–926. 45 indexed citations
18.
Martin, Christopher, et al.. (2004). An Action Spectrum of the Riboflavin Photosensitized Inactivation of Lambda Phage. Photochemistry and Photobiology. 7 indexed citations
19.
Chen, Tongqian, et al.. (1996). Photochemical and Photophysical Studies of 3‐Amino‐6‐lodoacridine and the Inactivation of λ Phage. Photochemistry and Photobiology. 64(4). 622–631. 9 indexed citations
20.
Goodrich, Raymond P., John H. Crowe, Lois M. Crowe, & John D. Baldeschwieler. (1991). Alterations in membrane surfaces induced by attachment of carbohydrates. Biochemistry. 30(21). 5313–5318. 30 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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