Connie Qi

477 total citations
14 papers, 350 citations indexed

About

Connie Qi is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Connie Qi has authored 14 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 7 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Connie Qi's work include Multiple Myeloma Research and Treatments (9 papers), Protein Degradation and Inhibitors (5 papers) and Cancer-related Molecular Pathways (4 papers). Connie Qi is often cited by papers focused on Multiple Myeloma Research and Treatments (9 papers), Protein Degradation and Inhibitors (5 papers) and Cancer-related Molecular Pathways (4 papers). Connie Qi collaborates with scholars based in Canada, United States and China. Connie Qi's co-authors include Hong Chang, Donna Reece, A. Keith Stewart, Allan Jiang, Wei Xu, Young Trieu, Christine Chen, Manujendra N. Saha, Suzanne Kamel‐Reid and Joseph Brandwein and has published in prestigious journals such as Blood, British Journal of Haematology and Human Pathology.

In The Last Decade

Connie Qi

14 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Connie Qi Canada 8 269 236 137 76 56 14 350
Fernando Escalante Spain 10 236 0.9× 171 0.7× 120 0.9× 84 1.1× 41 0.7× 36 325
Yoshiaki Kuroda Japan 12 222 0.8× 204 0.9× 161 1.2× 51 0.7× 46 0.8× 36 403
Pauline Huyghe France 4 314 1.2× 262 1.1× 121 0.9× 86 1.1× 33 0.6× 9 389
TE Witzig United States 8 334 1.2× 261 1.1× 212 1.5× 105 1.4× 63 1.1× 8 451
Scott VanWier United States 4 209 0.8× 167 0.7× 72 0.5× 49 0.6× 42 0.8× 4 275
M Meldrum United Kingdom 8 271 1.0× 152 0.6× 167 1.2× 55 0.7× 84 1.5× 9 371
Sung‐Soo Yoon South Korea 9 152 0.6× 120 0.5× 91 0.7× 58 0.8× 34 0.6× 54 272
Edward Kavalerchik United States 6 244 0.9× 188 0.8× 125 0.9× 142 1.9× 16 0.3× 17 358
Marie‐Odile Petillon France 8 395 1.5× 341 1.4× 325 2.4× 68 0.9× 109 1.9× 11 555
D Borrego Spain 7 342 1.3× 186 0.8× 155 1.1× 105 1.4× 47 0.8× 11 414

Countries citing papers authored by Connie Qi

Since Specialization
Citations

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

Fields of papers citing papers by Connie Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connie Qi

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

All Works

14 of 14 papers shown
1.
Stackelberg, A von, et al.. (2017). IntReALL SR 2010: An international randomised phase III study for the treatment of standard risk childhood relapsed acute lymphoblastic leukaemia. Oxford University Research Archive (ORA) (University of Oxford). 2 indexed citations
2.
3.
Jiang, Nan, Connie Qi, Lei Yu, et al.. (2011). Analysis of chromosome 12p deletion in plasma cell dyscrasias. Leukemia Research. 36(1). 32–36. 4 indexed citations
4.
5.
Jiang, Nan, Connie Qi, Young Trieu, Donna Reece, & Hong Chang. (2011). Genomic Aberrations and Survival of Patients with Light-Chain-Only Multiple Myeloma Undergoing Autologous Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 17(12). 1790–1795. 3 indexed citations
6.
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Chang, Hong, Allan Jiang, & Connie Qi. (2009). Aberrant Nuclear p53 Expression Predicts Hemizygous 17p (TP53)Deletion in Chronic Lymphocytic Leukemia. American Journal of Clinical Pathology. 133(1). 70–74. 20 indexed citations
8.
Qi, Connie, et al.. (2009). Cytoplasmic Expression of Nucleophosmin Accurately Predicts Mutation in the Nucleophosmin Gene in Patients With Acute Myeloid Leukemia and Normal Karyotype. American Journal of Clinical Pathology. 133(1). 34–40. 26 indexed citations
9.
Chang, Hong, Connie Qi, Young Trieu, et al.. (2009). Prognostic Relevance of 6q Deletion in Waldenström's Macroglobulinemia: A Multicenter Study. Clinical Lymphoma & Myeloma. 9(1). 36–38. 32 indexed citations
10.
Saha, Manujendra N., et al.. (2009). Molecular Mechanisms Mediating Antimyeloma Activity of An MDM2 Antagonist Nutlin.. Blood. 114(22). 3841–3841. 2 indexed citations
11.
Chang, Hong, Young Trieu, Connie Qi, Wei Xu, & Donna Reece. (2009). Impact of Cytogenetic Abnormalities On Outcome Among Patients with Relapsed/Refractory Multiple Myeloma Treated with Bortezomib: Adverse Effect of 1q21 (CKS1B) Amplification.. Blood. 114(22). 2826–2826. 1 indexed citations
12.
13.
Chang, Hong, et al.. (2007). Aberrant nuclear p53 protein expression detected by immunohistochemistry is associated with hemizygous P53 deletion and poor survival for multiple myeloma. British Journal of Haematology. 138(3). 324–329. 38 indexed citations
14.

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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