Ross Waite

1.6k total citations
9 papers, 1.3k citations indexed

About

Ross Waite is a scholar working on Molecular Biology, Immunology and Endocrine and Autonomic Systems. According to data from OpenAlex, Ross Waite has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Ross Waite's work include Immune Cell Function and Interaction (4 papers), Ion channel regulation and function (3 papers) and T-cell and B-cell Immunology (3 papers). Ross Waite is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Ion channel regulation and function (3 papers) and T-cell and B-cell Immunology (3 papers). Ross Waite collaborates with scholars based in United States, Canada and Austria. Ross Waite's co-authors include Lakshmi Puttagunta, Evangelos D. Michelakis, Stephen L. Archer, Michael A. Caligiuri, Héctor L. Aguila, Megan A. Cooper, Todd A. Fehniger, Yang Liu, Jeffrey VanDeusen and Ε. Kenneth Weir and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Oncology.

In The Last Decade

Ross Waite

9 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ross Waite United States 9 477 403 349 269 212 9 1.3k
Masato Imai Japan 20 204 0.4× 95 0.2× 261 0.7× 105 0.4× 152 0.7× 34 1.7k
Tang Zhu Canada 19 150 0.3× 251 0.6× 603 1.7× 131 0.5× 62 0.3× 29 1.2k
Anjali Kumar United States 19 231 0.5× 96 0.2× 445 1.3× 193 0.7× 286 1.3× 31 1.5k
Kennard L. Thomas United States 14 239 0.5× 86 0.2× 466 1.3× 232 0.9× 94 0.4× 17 1.3k
Kyu Youn Ahn South Korea 25 120 0.3× 232 0.6× 948 2.7× 344 1.3× 200 0.9× 58 1.7k
G. Drapeau Canada 25 168 0.4× 316 0.8× 1.0k 2.9× 280 1.0× 86 0.4× 56 2.0k
Luisella Alberti Italy 26 261 0.5× 125 0.3× 997 2.9× 192 0.7× 70 0.3× 41 2.1k
Margaret Prechel United States 21 438 0.9× 66 0.2× 176 0.5× 61 0.2× 155 0.7× 58 1.4k
Noriko Makita Japan 22 119 0.2× 209 0.5× 671 1.9× 165 0.6× 346 1.6× 75 1.7k
Gilles Kauffenstein France 24 135 0.3× 102 0.3× 420 1.2× 139 0.5× 321 1.5× 49 1.4k

Countries citing papers authored by Ross Waite

Since Specialization
Citations

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

Fields of papers citing papers by Ross Waite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ross Waite

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

All Works

9 of 9 papers shown
1.
Monk, J. Paul, Ross Waite, John G. Kuhn, et al.. (2006). Assessment of Tumor Necrosis Factor Alpha Blockade As an Intervention to Improve Tolerability of Dose-Intensive Chemotherapy in Cancer Patients. Journal of Clinical Oncology. 24(12). 1852–1859. 137 indexed citations
2.
Cooper, Megan A., Todd A. Fehniger, Jeffrey VanDeusen, et al.. (2002). In vivo evidence for a dependence on interleukin 15 for survival of natural killer cells. Blood. 100(10). 3633–3638. 361 indexed citations
3.
Michelakis, Evangelos D., M. Sean McMurtry, Jason R.B. Dyck, et al.. (2002). Dichloroacetate, a Metabolic Modulator, Prevents and Reverses Chronic Hypoxic Pulmonary Hypertension in Rats. Circulation. 105(2). 244–250. 286 indexed citations
4.
Michelakis, Evangelos D., Ε. Kenneth Weir, Xi‐Chen Wu, et al.. (2001). Potassium channels regulate tone in rat pulmonary veins. American Journal of Physiology-Lung Cellular and Molecular Physiology. 280(6). L1138–L1147. 61 indexed citations
5.
Archer, Stephen L., Barry London, Václav Hampl, et al.. (2001). Impairment of hypoxic pulmonary vasoconstriction in mice lacking the voltage‐gated potassium channel Kv1.5. The FASEB Journal. 15(10). 1801–1803. 123 indexed citations
6.
Archer, Stephen L., Helen L. Reeve, Evangelos D. Michelakis, et al.. (1999). O 2 sensing is preserved in mice lacking the gp91 phox subunit of NADPH oxidase. Proceedings of the National Academy of Sciences. 96(14). 7944–7949. 213 indexed citations
7.
Radcliff, Gilbert, et al.. (1991). Quantification of effector/target conjugation involving natural killer (NK) or lymphokine activated killer (LAK) cells by two-color flow cytometry. Journal of Immunological Methods. 139(2). 281–292. 34 indexed citations
9.
Callewaert, Denis M., V.K. Moudgil, Gilbert Radcliff, & Ross Waite. (1991). Hormone specific regulation of natural killer cells by cortisol Direct inactivation of the cytotoxic function of cloned human NK cells without an effect on cellular proliferation. FEBS Letters. 285(1). 108–110. 56 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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