Steve Wong

865 total citations
9 papers, 208 citations indexed

About

Steve Wong is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Steve Wong has authored 9 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Oncology. Recurrent topics in Steve Wong's work include Endoplasmic Reticulum Stress and Disease (4 papers), Ubiquitin and proteasome pathways (3 papers) and Cell death mechanisms and regulation (2 papers). Steve Wong is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (4 papers), Ubiquitin and proteasome pathways (3 papers) and Cell death mechanisms and regulation (2 papers). Steve Wong collaborates with scholars based in United States and Canada. Steve Wong's co-authors include F. M. Baker, Stevan Djakovic, Ronan Le Moigne, David J. Wustrow, Daniel J. Anderson, Mark Rolfe, Han-Jie Zhou, Francesco Parlati, Mary-Kamala Menon and Brajesh Kumar and has published in prestigious journals such as Blood, Cancer Research and Journal of Medicinal Chemistry.

In The Last Decade

Steve Wong

8 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steve Wong United States	3	101	96	47	19	19	9	208
Véronique Paradis Canada	8	123 1.2×	41 0.4×	31 0.7×	11 0.6×	2 0.1×	16	322
Jiao Xu China	9	56 0.6×	15 0.2×	25 0.5×	8 0.4×	11 0.6×	44	220
Michelle E. Gray United States	5	88 0.9×	86 0.9×	108 2.3×	5 0.3×	4 0.2×	6	340
Alexandra M. Fulton United Kingdom	12	239 2.4×	41 0.4×	34 0.7×	4 0.2×	14 0.7×	17	410
B Somogyi Hungary	6	48 0.5×	58 0.6×	5 0.1×	5 0.3×	7 0.4×	30	185
Eugenie Shieh United States	7	66 0.7×	25 0.3×	52 1.1×	6 0.3×		15	228
Olivia Wenger United States	7	74 0.7×	29 0.3×	31 0.7×	7 0.4×	66 3.5×	12	197
Alison Farrell Canada	9	255 2.5×	103 1.1×	22 0.5×	8 0.4×		36	419
Katherine Mitsouras United States	11	198 2.0×	7 0.1×	40 0.9×	8 0.4×	3 0.2×	13	406
José Manuel Rodríguez Rodríguez Spain	8	303 3.0×	182 1.9×	26 0.6×		6 0.3×	33	475

Countries citing papers authored by Steve Wong

Since Specialization

Citations

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

Fields of papers citing papers by Steve Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Wong

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Bennett, Alyssa B., et al.. (2023). Evaluating numerical techniques with HPC systems in predicting vibratory responses of large finite element models. The Journal of the Acoustical Society of America. 153(3_supplement). A318–A318.

2.

Wong, Steve, et al.. (2017). Blockchain & the Hollywood Supply Chain. 1–5. 2 indexed citations

3.

Anderson, Daniel J., Ronan Le Moigne, Stevan Djakovic, et al.. (2015). Abstract DDT02-01: Inhibition of the AAA-ATPase p97 with the first in class inhibitor CB-5083 as a novel approach to treat cancer. Cancer Research. 75(15_Supplement). DDT02–1. 2 indexed citations

4.

Zhou, Han-Jie, Jinhai Wang, Bing Yao, et al.. (2015). Discovery of a First-in-Class, Potent, Selective, and Orally Bioavailable Inhibitor of the p97 AAA ATPase (CB-5083). Journal of Medicinal Chemistry. 58(24). 9480–9497. 146 indexed citations

5.

Wong, Steve. (2015). THE WEALTH OF NATIONS. 26(3). 46–49. 2 indexed citations

6.

Nawrocki, Steffan T., Yingchun Han, Ronan Le Moigne, et al.. (2015). Activation of the Unfolded Protein Response with the First-in-Class P97 Inhibitor CB-5083 Induces Stable Disease Regression and Overcomes Ara-C Resistance in AML. Blood. 126(23). 1350–1350. 1 indexed citations

7.

Moigne, Ronan Le, Steve Wong, Ferdie Soriano, et al.. (2014). Abstract 951: CB-5083 is a novel first in class p97 inhibitor that disrupts cellular protein homeostasis and demonstrates anti-tumor activity in solid and hematological models. Cancer Research. 74(19_Supplement). 951–951. 1 indexed citations

8.

Baker, F. M., et al.. (1996). Screening African-American Elderly for the Presence of Depressive Symptoms: A Preliminary Investigation. Journal of Geriatric Psychiatry and Neurology. 9(3). 127–132. 40 indexed citations

9.

Wong, Steve & Sherwin S. Desser. (1978). Ultrastructural Observations on Renal Schizogony of Leucocytozoon dubreuili in the American Robin. The Journal of Protozoology. 25(3). 302–314. 14 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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