J SHAW

498 total citations
10 papers, 425 citations indexed

About

J SHAW is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, J SHAW has authored 10 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Immunology. Recurrent topics in J SHAW's work include Toxin Mechanisms and Immunotoxins (3 papers), Glutathione Transferases and Polymorphisms (2 papers) and Transgenic Plants and Applications (2 papers). J SHAW is often cited by papers focused on Toxin Mechanisms and Immunotoxins (3 papers), Glutathione Transferases and Polymorphisms (2 papers) and Transgenic Plants and Applications (2 papers). J SHAW collaborates with scholars based in United States. J SHAW's co-authors include Iih‐Nan Chou, Robert Lyons, Peter Shamamian, Ross S. Basch, Patricia Bacha, Jean Nichols, F S Genbauffe, Donna E. Akiyoshi, Thasia Woodworth and Anthony M. Dart and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Cardiovascular Research.

In The Last Decade

J SHAW

10 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J SHAW United States	10	223	107	93	57	54	10	425
Sally W. Hennessy United States	11	352 1.6×	42 0.4×	45 0.5×	24 0.4×	22 0.4×	12	589
Hubert Kasperczyk Germany	9	474 2.1×	82 0.8×	41 0.4×	121 2.1×	19 0.4×	12	645
Pamela L. Rice United States	12	375 1.7×	105 1.0×	17 0.2×	176 3.1×	30 0.6×	15	648
Mercè Padró Spain	5	421 1.9×	61 0.6×	118 1.3×	124 2.2×	46 0.9×	5	581
Karen England United Kingdom	12	326 1.5×	36 0.3×	21 0.2×	51 0.9×	15 0.3×	15	541
Samuel J. DiMari United States	11	185 0.8×	21 0.2×	35 0.4×	25 0.4×	19 0.4×	18	445
Bryan M. Gillard United States	12	320 1.4×	81 0.8×	27 0.3×	137 2.4×	17 0.3×	25	615
Hans Joernvall Sweden	7	272 1.2×	13 0.1×	57 0.6×	33 0.6×	40 0.7×	8	504
Ying Chun Li China	8	353 1.6×	47 0.4×	38 0.4×	72 1.3×	14 0.3×	11	592
David Qualtrough United Kingdom	13	429 1.9×	55 0.5×	76 0.8×	199 3.5×	14 0.3×	17	852

Countries citing papers authored by J SHAW

Since Specialization

Citations

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

Fields of papers citing papers by J SHAW

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J SHAW

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

All Works

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10 of 10 papers shown

White, Anthony J., Sean Duffy, Antony Walton, et al.. (2007). Matrix metalloproteinase-3 and coronary remodelling: Implications for unstable coronary disease. Cardiovascular Research. 75(4). 813–820. 35 indexed citations

SHAW, J, Ross S. Basch, & Peter Shamamian. (2003). Hematopoietic stem cells and endothelial cell precursors express Tie-2, CD31 and CD45. Blood Cells Molecules and Diseases. 32(1). 168–175. 47 indexed citations

Platanias, Leonidas C., Mark J. Ratain, Richard A. Larson, et al.. (1994). Phase I Trial of a Genetically Engineered Interleukin-2 Fusion Toxin (DAB₄₈₆IL-2) as a 6 Hour Intravenous Infusion in Patients with Hematologic Malignancies. Leukemia & lymphoma. 14(3-4). 257–262. 14 indexed citations

LeMaistre, CF, C Meneghetti, A. B. Deisseroth, et al.. (1991). Therapeutic effects of genetically engineered toxin (DAB486IL-2) in patient with chronic lymphocytic leukaemia. The Lancet. 337(8750). 1124–1125. 29 indexed citations

SHAW, J, et al.. (1991). Cytotoxic properties of DAB486EGF and DAB389EGF, epidermal growth factor (EGF) receptor-targeted fusion toxins.. Journal of Biological Chemistry. 266(31). 21118–21124. 62 indexed citations

SHAW, J, et al.. (1988). Rapid phosphorylation of microtubule-associated proteins through distinct mitogenic pathways.. Journal of Biological Chemistry. 263(3). 1459–1466. 30 indexed citations

SHAW, J & Iih‐Nan Chou. (1986). Elevation of intracellular glutathione content associated with mitogenic stimulation of quiescent fibroblasts. Journal of Cellular Physiology. 129(2). 193–198. 149 indexed citations

Chou, Iih‐Nan & J SHAW. (1984). Microtubule disassembly and morphologic alterations induced by 1-chloro-2,4-dinitrobenzene, a substrate for glutathione S-transferase. Cell Biology International Reports. 8(6). 441–448. 14 indexed citations

SHAW, J & Robert Lyons. (1982). Requirements for different Ca2+ pools in the activation of rabbit plateletsI. Release reaction and protein phosphorylation. Biochimica et Biophysica Acta (BBA) - General Subjects. 714(3). 492–499. 32 indexed citations

10.

SHAW, J & Robert Lyons. (1982). Requirement for different Ca2+ pools in the activation of rabbit plateletsII. Phospholipase activity. Biochimica et Biophysica Acta (BBA) - General Subjects. 714(3). 500–504. 13 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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