Depinder Khaira

1.4k total citations
9 papers, 343 citations indexed

About

Depinder Khaira is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Depinder Khaira has authored 9 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 4 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Depinder Khaira's work include Cancer Genomics and Diagnostics (6 papers), Colorectal Cancer Treatments and Studies (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Depinder Khaira is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Colorectal Cancer Treatments and Studies (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Depinder Khaira collaborates with scholars based in United States. Depinder Khaira's co-authors include Vincent A. Miller, Julia A. Elvin, Siraj M. Ali, Kai Wang, Philip J. Stephens, Jeffrey S. Ross, Roman Yelensky, Doron Lipson, Juliann Chmielecki and Norma Alonzo Palma and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Cancer Research.

In The Last Decade

Depinder Khaira

9 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Depinder Khaira United States 6 175 172 150 137 128 9 343
Hiroki Harada Japan 10 95 0.5× 122 0.7× 104 0.7× 94 0.7× 80 0.6× 37 289
Kenjiro Yoshikawa Japan 7 171 1.0× 195 1.1× 182 1.2× 167 1.2× 108 0.8× 11 431
Byung‐Noe Bae South Korea 11 79 0.5× 117 0.7× 199 1.3× 69 0.5× 81 0.6× 25 304
Enas Alawi United States 3 281 1.6× 182 1.1× 251 1.7× 90 0.7× 37 0.3× 4 430
Mei-Fang Zhang China 8 69 0.4× 174 1.0× 155 1.0× 114 0.8× 47 0.4× 9 347
Ming He China 9 81 0.5× 144 0.8× 167 1.1× 42 0.3× 109 0.9× 26 294
Alexander M. Frankell United Kingdom 6 84 0.5× 64 0.4× 85 0.6× 109 0.8× 85 0.7× 7 221
Hong-Jae Jo South Korea 7 70 0.4× 147 0.9× 101 0.7× 90 0.7× 58 0.5× 11 273
C. Rimkus Germany 5 66 0.4× 169 1.0× 148 1.0× 55 0.4× 100 0.8× 10 365

Countries citing papers authored by Depinder Khaira

Since Specialization
Citations

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

Fields of papers citing papers by Depinder Khaira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Depinder Khaira

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

All Works

9 of 9 papers shown
1.
Wrzeszczyński, Kazimierz O., Sadia Rahman, Mayu O. Frank, et al.. (2019). Identification of targetable BRAF ΔN486_P490 variant by whole-genome sequencing leading to dabrafenib-induced remission of a BRAF-mutant pancreatic adenocarcinoma. Molecular Case Studies. 5(6). a004424–a004424. 19 indexed citations
2.
Ross, Jeffrey S., Laurie M. Gay, Kai Wang, et al.. (2016). Clinically advanced and metastatic pure mucinous carcinoma of the breast: a comprehensive genomic profiling study. Breast Cancer Research and Treatment. 155(2). 405–413. 17 indexed citations
3.
Khaira, Depinder, James Suh, Roman Yelensky, et al.. (2016). Abstract P6-03-12: Comprehensive genomic profiling of clinically advanced mucinous carcinoma of the breast. Cancer Research. 76(4_Supplement). P6–3. 1 indexed citations
4.
Wang, Kai, Adrienne Johnson, Siraj M. Ali, et al.. (2015). Comprehensive Genomic Profiling of Advanced Esophageal Squamous Cell Carcinomas and Esophageal Adenocarcinomas Reveals Similarities and Differences. The Oncologist. 20(10). 1132–1139. 75 indexed citations
5.
Pal, Sumanta K., Toni K. Choueiri, Kai Wang, et al.. (2015). Characterization of Clinical Cases of Collecting Duct Carcinoma of the Kidney Assessed by Comprehensive Genomic Profiling. European Urology. 70(3). 516–521. 87 indexed citations
6.
Ross, Jeffrey S., Siraj M. Ali, Kai Wang, et al.. (2015). Comprehensive genomic profiling of inflammatory breast cancer cases reveals a high frequency of clinically relevant genomic alterations. Breast Cancer Research and Treatment. 154(1). 155–162. 61 indexed citations
7.
Ross, Jeffrey S., Kai Wang, Depinder Khaira, et al.. (2015). Comprehensive genomic profiling of clinically advanced colorectal carcinoma to reveal frequent opportunities for targeted therapies.. Journal of Clinical Oncology. 33(15_suppl). 3553–3553. 4 indexed citations
9.
Vonderheide, Robert H., Patricia LoRusso, Elisabeth I. Heath, et al.. (2009). Tremelimumab in combination with exemestane as novel immunotherapy for patients with advanced breast cancer. Journal of Clinical Oncology. 27(15_suppl). 3034–3034. 3 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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