Shukmei Wong

1.1k total citations
16 papers, 377 citations indexed

About

Shukmei Wong is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Shukmei Wong has authored 16 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Shukmei Wong's work include Cancer Genomics and Diagnostics (5 papers), Veterinary Oncology Research (5 papers) and Microbial infections and disease research (3 papers). Shukmei Wong is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Veterinary Oncology Research (5 papers) and Microbial infections and disease research (3 papers). Shukmei Wong collaborates with scholars based in United States, Switzerland and Canada. Shukmei Wong's co-authors include Karen L. Denzler, Trung Huynh, Bertram L. Jacobs, Susan Holechek, Karen V. Kibler, Jeffrey Langland, Carole R. Baskin, Stacy D. White, Winnie S. Liang and John D. Carpten and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Shukmei Wong

14 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shukmei Wong United States 7 177 141 130 90 76 16 377
Yuzo Nagai Japan 14 102 0.6× 173 1.2× 312 2.4× 134 1.5× 93 1.2× 47 770
Gema Gómez‐Mariano Spain 14 63 0.4× 289 2.0× 80 0.6× 208 2.3× 29 0.4× 28 658
J. L. Rojko United States 12 173 1.0× 95 0.7× 135 1.0× 223 2.5× 190 2.5× 18 482
Jonathan Hare United States 7 102 0.6× 143 1.0× 62 0.5× 56 0.6× 75 1.0× 30 321
Kirsten Hanke Germany 12 115 0.6× 310 2.2× 94 0.7× 92 1.0× 109 1.4× 24 610
Marie Lambelé United States 10 231 1.3× 136 1.0× 97 0.7× 27 0.3× 137 1.8× 11 425
Lindsey B. Crawford United States 15 101 0.6× 144 1.0× 371 2.9× 50 0.6× 174 2.3× 31 592
Jesse Thompson United States 12 113 0.6× 275 2.0× 104 0.8× 252 2.8× 82 1.1× 19 525
Lizheng Guo United States 12 78 0.4× 228 1.6× 160 1.2× 37 0.4× 120 1.6× 17 513
Robert J. Durso United States 10 162 0.9× 231 1.6× 404 3.1× 77 0.9× 253 3.3× 14 915

Countries citing papers authored by Shukmei Wong

Since Specialization
Citations

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

Fields of papers citing papers by Shukmei Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shukmei Wong

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

All Works

16 of 16 papers shown
1.
Heiden, A., Heather L. Gardner, William P.D. Hendricks, et al.. (2025). Characterization of the genomic landscape of canine diffuse large B-cell lymphoma reveals recurrent H3K27M mutations linked to progression-free survival. Scientific Reports. 15(1). 4724–4724.
2.
3.
Wang, Guannan, Sharadha Sakthikumar, Shukmei Wong, et al.. (2023). Genomic tumor analysis provides clinical guidance for the management of diagnostically challenging cancers in dogs. Journal of the American Veterinary Medical Association. 261(5). 668–677. 6 indexed citations
4.
McDonald, Bradon R., Tania Contente‐Cuomo, Shukmei Wong, et al.. (2022). Feasibility of circulating tumor DNA analysis in dogs with naturally occurring malignant and benign splenic lesions. Scientific Reports. 12(1). 6337–6337. 5 indexed citations
5.
Wong, Shukmei, E. J. Ehrhart, Victoria Zismann, et al.. (2022). Genomic landscapes of canine splenic angiosarcoma (hemangiosarcoma) contain extensive heterogeneity within and between patients. PLoS ONE. 17(7). e0264986–e0264986. 14 indexed citations
6.
Lorch, Gwendolen, Karthigayini Sivaprakasam, Victoria Zismann, et al.. (2019). Identification of Recurrent Activating HER2 Mutations in Primary Canine Pulmonary Adenocarcinoma. Clinical Cancer Research. 25(19). 5866–5877. 28 indexed citations
7.
Ehrhart, E. J., Shukmei Wong, Keith Richter, et al.. (2019). Polymerase chain reaction for antigen receptor rearrangement: Benchmarking performance of a lymphoid clonality assay in diverse canine sample types. Journal of Veterinary Internal Medicine. 33(3). 1392–1402. 10 indexed citations
8.
Pierobon, Mariaelena, Nicholas J. Robert, Donald W. Northfelt, et al.. (2018). Multi-omic profiling of metastatic lesions to guide treatment selection: The Side Out 2 trial experience.. Journal of Clinical Oncology. 36(15_suppl). 1077–1077. 3 indexed citations
9.
Manojlovic, Zarko, Winnie S. Liang, Jessica Aldrich, et al.. (2017). Comprehensive molecular profiling of 718 Multiple Myelomas reveals significant differences in mutation frequencies between African and European descent cases. PLoS Genetics. 13(11). e1007087–e1007087. 45 indexed citations
10.
Azizi, Ebrahim, Evelyn Jiagge, Shamileh Fouladdel, et al.. (2015). Abstract 4834: Single cell multiplex gene expression analysis to unravel heterogeneity of PDX samples established from tumors of breast cancer patients with different ethnicity. Cancer Research. 75(15_Supplement). 4834–4834. 1 indexed citations
11.
LoRusso, Patricia, Sara M. Tolaney, Shukmei Wong, et al.. (2015). Abstract CT325: Combination of the PARP inhibitor veliparib (ABT888) with irinotecan in patients with triple negative breast cancer: Preliminary activity and signature of response. Cancer Research. 75(15_Supplement). CT325–CT325. 5 indexed citations
12.
Jiagge, Evelyn, Shukmei Wong, Sean McDermott, et al.. (2014). Abstract LB-59: Distinct pathways differentiate the CD44+ mesenchymal-like from the ALDH+ epithelial-like phenotype of triple negative breast cancer stem cells. Cancer Research. 74(19_Supplement). LB–59. 1 indexed citations
13.
Tembe, Waibhav, Stephanie J. K. Pond, Christophe Legendre, et al.. (2014). Open-access synthetic spike-in mRNA-seq data for cancer gene fusions. BMC Genomics. 15(1). 824–824. 14 indexed citations
14.
Kibler, Karen V., Carmen Gómez, Beatriz Perdiguero, et al.. (2011). Improved NYVAC-Based Vaccine Vectors. PLoS ONE. 6(11). e25674–e25674. 45 indexed citations
15.
Jacobs, Bertram L., Jeffrey Langland, Karen V. Kibler, et al.. (2009). Vaccinia virus vaccines: Past, present and future. Antiviral Research. 84(1). 1–13. 199 indexed citations
16.
Jacobs, Bertram L., Karen V. Kibler, Shukmei Wong, et al.. (2009). OA021-01. Construction and characterization of replication competent attenuated NYVAC-based vectors as potential HIV vaccines. Retrovirology. 6(S3). 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yuzo Nagai Breakdown of academic impact, for papers by Gema Gómez‐Mariano Breakdown of academic impact, for papers by J. L. Rojko Breakdown of academic impact, for papers by Jonathan Hare Breakdown of academic impact, for papers by Kirsten Hanke Breakdown of academic impact, for papers by Marie Lambelé Breakdown of academic impact, for papers by Lindsey B. Crawford Breakdown of academic impact, for papers by Jesse Thompson Breakdown of academic impact, for papers by Lizheng Guo Breakdown of academic impact, for papers by Robert J. Durso
Rankless by CCL
2026