Robert J. Gallagher

1.1k total citations
31 papers, 890 citations indexed

About

Robert J. Gallagher is a scholar working on Complementary and alternative medicine, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Robert J. Gallagher has authored 31 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Complementary and alternative medicine, 5 papers in Molecular Biology and 4 papers in Computational Mechanics. Recurrent topics in Robert J. Gallagher's work include Phytochemicals and Medicinal Plants (12 papers), Medicinal Plants and Neuroprotection (10 papers) and Retinoids in leukemia and cellular processes (4 papers). Robert J. Gallagher is often cited by papers focused on Phytochemicals and Medicinal Plants (12 papers), Medicinal Plants and Neuroprotection (10 papers) and Retinoids in leukemia and cellular processes (4 papers). Robert J. Gallagher collaborates with scholars based in United States, Chile and United Kingdom. Robert J. Gallagher's co-authors include John B. Fenn, Barbara N. Timmermann, Huaping Zhang, John D. Davis, Mark S. Cohen, Kelly Kindscher, Victor W. Day, Peter H. Wiernik, E. Sturm and Elisabeth Paietta and has published in prestigious journals such as Nature, The Journal of Chemical Physics and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Robert J. Gallagher

30 papers receiving 845 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert J. Gallagher United States 15 215 190 162 151 86 31 890
Shangrong Li China 16 253 1.2× 56 0.3× 141 0.9× 102 0.7× 5 0.1× 64 856
Zhenwei Li China 14 167 0.8× 54 0.3× 142 0.9× 124 0.8× 63 870
В. Г. Беспалов Russia 15 51 0.2× 17 0.1× 114 0.7× 312 2.1× 4 0.0× 143 837
David M. Goldberg United States 15 531 2.5× 11 0.1× 154 1.0× 70 0.5× 4 0.0× 37 1.3k
Si‐Jia Chen China 20 16 0.1× 41 0.2× 152 0.9× 246 1.6× 9 0.1× 61 1.7k
David Atkinson United Kingdom 12 188 0.9× 7 0.0× 63 0.4× 50 0.3× 53 630
SangYun Lee South Korea 17 97 0.5× 35 0.2× 372 2.3× 323 2.1× 44 1.1k
Dieter Mayer Germany 17 45 0.2× 28 0.1× 71 0.4× 31 0.2× 75 0.9× 62 784
Josefin Larsson Sweden 18 935 4.3× 9 0.0× 162 1.0× 24 0.2× 3 0.0× 50 1.3k

Countries citing papers authored by Robert J. Gallagher

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Gallagher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Gallagher. 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 Robert J. Gallagher. The network helps show where Robert J. Gallagher may publish in the future.

Co-authorship network of co-authors of Robert J. Gallagher

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. Gallagher. A scholar is included among the top collaborators of Robert J. Gallagher 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 Robert J. Gallagher. Robert J. Gallagher 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.
Fluetsch, Andrin, R. Maiolino, Stefano Carniani, et al.. (2021). Properties of the multiphase outflows in local (ultra)luminous infrared galaxies. Monthly Notices of the Royal Astronomical Society. 505(4). 5753–5783. 75 indexed citations
2.
Gallagher, Robert J., et al.. (2017). Restricting Anaerobic Glycolysis Reliance (Warburg effect): Novel Natural Products Based Therapeutic Strategy for Cancer Treatment.. 1(3). 8–14. 4 indexed citations
3.
Maiolino, R., H. R. Russell, A. C. Fabian, et al.. (2017). Star formation inside a galactic outflow. Nature. 544(7649). 202–206. 143 indexed citations
4.
White, Peter, Chitra Subramanian, Qing Zhu, et al.. (2015). Novel HSP90 inhibitors effectively target functions of thyroid cancer stem cell preventing migration and invasion. Surgery. 159(1). 142–151. 38 indexed citations
5.
Zhang, Huaping, et al.. (2014). Withanolides from Physalis coztomatl. Phytochemistry. 109. 147–153. 14 indexed citations
6.
Kindscher, Kelly, et al.. (2014). Analysis of Major Withanolides inPhysalis longifoliaNutt. by HPLC-PDA. Journal of Chromatographic Science. 53(7). 1044–1047. 4 indexed citations
7.
Zhang, Huaping, et al.. (2014). Antiproliferative withanolides from several solanaceous species. Natural Product Research. 28(22). 1941–1951. 39 indexed citations
8.
Subramanian, Chitra, Huaping Zhang, Robert J. Gallagher, et al.. (2014). Withanolides are Potent Novel Targeted Therapeutic Agents Against Adrenocortical Carcinomas. World Journal of Surgery. 38(6). 1343–1352. 19 indexed citations
9.
Zhang, Huaping, et al.. (2013). Withanolides from Jaborosa caulescens var. bipinnatifida. Phytochemistry. 98. 232–235. 7 indexed citations
10.
Zhang, Huaping, Abbas Samadi, Robert J. Gallagher, et al.. (2011). Cytotoxic Withanolide Constituents of Physalis longifolia. Journal of Natural Products. 74(12). 2532–2544. 63 indexed citations
11.
12.
Dutcher, Janice P., Sandra Lee, Robert J. Gallagher, et al.. (2004). Phase II study of all-trans retinoic acid in the accelerated phase or early blastic phase of chronic myeloid leukemia: A study of the Eastern Cooperative Oncology Group (E1993). Leukemia & lymphoma. 46(3). 377–385. 7 indexed citations
13.
Paietta, Elisabeth, Janet Andersen, Janis Racevskis, et al.. (1994). Significantly lower P-glycoprotein expression in acute promyelocytic leukemia than in other types of acute myeloid leukemia: immunological, molecular and functional analyses.. PubMed. 8(6). 968–73. 88 indexed citations
14.
Paietta, Elisabeth, Robert J. Gallagher, Peter H. Wiernik, & Richard J. Stockert. (1988). A membrane-bound lectin responsive to monocytic maturation in the promyelocytic leukemia cell line HL-60.. PubMed. 48(2). 280–7. 6 indexed citations
15.
Gallagher, Robert J. & John B. Fenn. (1979). Internal energy relaxation in methane and its chlorinated derivatives. 2. 935–946. 2 indexed citations
16.
Cattolica, Robert J., Robert J. Gallagher, James B. Anderson, & L. Talbot. (1979). Aerodynamic Separation of Gases by Velocity Slip in Freejet Expansions. AIAA Journal. 17(4). 344–355. 17 indexed citations
17.
Cattolica, Robert J., Robert J. Gallagher, James B. Anderson, & L. Talbot. (1977). Velocity slip and translational nonequilibrium of ternary gas mixtures in free jet expansions. 1 indexed citations
18.
Gallagher, Robert J. & John B. Fenn. (1974). Rotational relaxation of molecular hydrogen. The Journal of Chemical Physics. 60(9). 3492–3499. 83 indexed citations
19.
Davis, John D., et al.. (1971). Disappearance of a humoral satiety factor during food deprivation.. Journal of Comparative and Physiological Psychology. 75(3). 476–482. 33 indexed citations
20.
Davis, John D., et al.. (1969). Inhibition of food intake by a humoral factor.. Journal of Comparative and Physiological Psychology. 67(4). 407–414. 49 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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