Kathie L. Pratt

1.2k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

Kathie L. Pratt is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Immunology. According to data from OpenAlex, Kathie L. Pratt has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Immunology. Recurrent topics in Kathie L. Pratt's work include Growth Hormone and Insulin-like Growth Factors (3 papers), Lipid metabolism and disorders (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). Kathie L. Pratt is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (3 papers), Lipid metabolism and disorders (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). Kathie L. Pratt collaborates with scholars based in United States, France and United Kingdom. Kathie L. Pratt's co-authors include Marvin B. Rittenberg, Jaime Guevara‐Aguirre, Caroline Buckway, Ron G. Rosenfeld, Christine Burren, Karin A. Selva, R G Rosenfeld, Basil Golding, Hana Golding and Denis R. Burger and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Kathie L. Pratt

7 papers receiving 821 citations

Hit Papers

Antitrinitrophenyl (TNP) Plaque Assay. Primary Response o... 1969 2026 1988 2007 1969 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathie L. Pratt United States 7 630 280 251 140 126 7 1.1k
E L Larsson Sweden 14 544 0.9× 217 0.8× 164 0.7× 23 0.2× 50 0.4× 29 900
Sonia Baur United States 14 331 0.5× 393 1.4× 264 1.1× 60 0.4× 75 0.6× 22 912
Francisco Blanco-Favéla Mexico 18 451 0.7× 199 0.7× 57 0.2× 178 1.3× 56 0.4× 51 997
Ruth Neta United States 19 419 0.7× 179 0.6× 198 0.8× 22 0.2× 45 0.4× 36 910
Karin Sege Sweden 13 332 0.5× 431 1.5× 288 1.1× 20 0.1× 108 0.9× 22 900
K Albrandt United States 14 368 0.6× 468 1.7× 219 0.9× 72 0.5× 40 0.3× 16 961
Gabrielle H. Reem United States 16 457 0.7× 421 1.5× 63 0.3× 34 0.2× 56 0.4× 41 1.0k
Jeannine M. Durdik United States 20 951 1.5× 465 1.7× 303 1.2× 16 0.1× 92 0.7× 48 1.4k
C S Henney United States 17 1.1k 1.8× 374 1.3× 260 1.0× 20 0.1× 100 0.8× 25 1.6k
Marlies Ballegeer Belgium 16 324 0.5× 255 0.9× 96 0.4× 92 0.7× 95 0.8× 24 800

Countries citing papers authored by Kathie L. Pratt

Since Specialization
Citations

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

Fields of papers citing papers by Kathie L. Pratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathie L. Pratt. 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 Kathie L. Pratt. The network helps show where Kathie L. Pratt may publish in the future.

Co-authorship network of co-authors of Kathie L. Pratt

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

All Works

7 of 7 papers shown
1.
Rosenfeld, Ron G., Caroline Buckway, Karin A. Selva, Kathie L. Pratt, & Jaime Guevara‐Aguirre. (2004). Insulin-Like Growth Factor (IGF) Parameters and Tools for Efficacy: The IGF-I Generation Test in Children. Hormone Research in Paediatrics. 62(Suppl. 1). 37–43. 22 indexed citations
2.
Buckway, Caroline, et al.. (2002). Insulin-Like Growth Factor Binding Protein-3 Generation as a Measure of GH Sensitivity. The Journal of Clinical Endocrinology & Metabolism. 87(10). 4754–4765. 27 indexed citations
3.
Buckway, Caroline, Jaime Guevara‐Aguirre, Kathie L. Pratt, Christine Burren, & Ron G. Rosenfeld. (2001). The IGF-I Generation Test Revisited: A Marker of GH Sensitivity. The Journal of Clinical Endocrinology & Metabolism. 86(11). 5176–5183. 105 indexed citations
4.
Pratt, Kathie L., et al.. (1990). Detection and isolation of the NADPH-binding protein of the NADPH:O2 oxidoreductase complex of human neutrophils.. Journal of Biological Chemistry. 265(31). 19324–19329. 12 indexed citations
5.
Pratt, Kathie L., et al.. (1988). Purification of the solubilized NADPH:O2 oxidoreductase of human neutrophils. Isolation of its catalytically inactive cytochrome b and flavoprotein redox centers.. Journal of Biological Chemistry. 263(12). 5617–5623. 12 indexed citations
6.
Golding, Basil, et al.. (1981). Human lymphocytes can generate thymus-independent as well as thymus-dependent anti-hapten plaque-forming cell responses in vitro.. The Journal of Immunology. 127(1). 220–224. 22 indexed citations
7.
Rittenberg, Marvin B. & Kathie L. Pratt. (1969). Antitrinitrophenyl (TNP) Plaque Assay. Primary Response of Balb/c Mice to Soluble and Particulate Immunogen. Experimental Biology and Medicine. 132(2). 575–581. 863 indexed citations breakdown →

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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