Faridi Qaium

403 total citations
7 papers, 83 citations indexed

About

Faridi Qaium is a scholar working on Cancer Research, Surgery and Molecular Biology. According to data from OpenAlex, Faridi Qaium has authored 7 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Faridi Qaium's work include Cancer Genomics and Diagnostics (5 papers), Bladder and Urothelial Cancer Treatments (4 papers) and Genetic factors in colorectal cancer (2 papers). Faridi Qaium is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Bladder and Urothelial Cancer Treatments (4 papers) and Genetic factors in colorectal cancer (2 papers). Faridi Qaium collaborates with scholars based in United States. Faridi Qaium's co-authors include Peter K. Harris, Wenjia Feng, Aadel A. Chaudhuri, Pradeep S. Chauhan, Dengfeng Cao, Zachary L. Smith, Li Ding, Vivek Arora, Melissa A. Reimers and Jeffrey J. Szymanski and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and PLoS Medicine.

In The Last Decade

Faridi Qaium

7 papers receiving 83 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Faridi Qaium United States	3	45	44	41	20	14	7	83
Rachel de la Rue United Kingdom	2	29 0.6×	32 0.7×	51 1.2×	23 1.1×	19 1.4×	2	84
Nicola Chetta Italy	5	41 0.9×	34 0.8×	44 1.1×	31 1.6×	8 0.6×	6	94
Chloé Leandri France	5	16 0.4×	38 0.9×	53 1.3×	19 0.9×	34 2.4×	15	117
Guanghui Liang China	7	40 0.9×	43 1.0×	46 1.1×	43 2.1×	31 2.2×	12	104
Simon Ying Kit Law Hong Kong	3	19 0.4×	18 0.4×	25 0.6×	24 1.2×	14 1.0×	4	60
Ende Yang China	6	32 0.7×	43 1.0×	23 0.6×	51 2.5×	15 1.1×	9	97
Alex Northrop United Kingdom	2	51 1.1×	29 0.7×	32 0.8×	12 0.6×	32 2.3×	2	77
Eric Lander United States	4	18 0.4×	32 0.7×	36 0.9×	11 0.6×	24 1.7×	9	71
Sree B. Chalasani United States	6	17 0.4×	26 0.6×	24 0.6×	21 1.1×	38 2.7×	15	84
S Timbrell United Kingdom	5	41 0.9×	10 0.2×	35 0.9×	13 0.7×	16 1.1×	5	76

Countries citing papers authored by Faridi Qaium

Since Specialization

Citations

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

Fields of papers citing papers by Faridi Qaium

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faridi Qaium

This figure shows the co-authorship network connecting the top 25 collaborators of Faridi Qaium. A scholar is included among the top collaborators of Faridi Qaium 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 Faridi Qaium. Faridi Qaium 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:

7 of 7 papers shown

1.

Chauhan, Pradeep S., Arpit Panda, P. Harris, et al.. (2024). Predicting genitourinary cancer tissue-of-origin using urine cell-free DNA fragmentomic features. 5. 100173–100173. 1 indexed citations

2.

Chauhan, Pradeep S., et al.. (2024). Urine Cell-Free DNA Analysis to Detect Tumor Tissue of Origin and Predict Pathologic Complete Response across Genitourinary Malignancies. International Journal of Radiation Oncology*Biology*Physics. 120(2). S198–S198. 1 indexed citations

3.

Chauhan, Pradeep S., Kevin Chen, Wenjia Feng, et al.. (2021). Urine tumor DNA detection of minimal residual disease in muscle-invasive bladder cancer treated with curative-intent radical cystectomy: A cohort study. PLoS Medicine. 18(8). e1003732–e1003732. 55 indexed citations

4.

Chen, Kevin, Pradeep S. Chauhan, Wenjia Feng, et al.. (2021). Tracking minimal residual disease with urine tumor DNA in muscle-invasive bladder cancer after neoadjuvant chemotherapy.. Journal of Clinical Oncology. 39(15_suppl). e16514–e16514. 3 indexed citations

5.

Chauhan, Pradeep S., Wenjia Feng, Peter K. Harris, et al.. (2020). Urinary Tumor DNA Detection of Muscle-Invasive Bladder Cancer May be Superior to Surgical Pathologic Complete Response Status for Predicting Survival Outcomes. International Journal of Radiation Oncology*Biology*Physics. 108(3). e916–e916. 1 indexed citations

6.

Dang, Ha X., Pradeep S. Chauhan, Haley Ellis, et al.. (2020). Cell-Free DNA Alterations in the AR Enhancer and Locus Predict Resistance to AR-Directed Therapy in Patients With Metastatic Prostate Cancer. JCO Precision Oncology. 4(4). 680–713. 21 indexed citations

7.

Pellini, Bruna, Peter K. Harris, Wenjia Feng, et al.. (2020). Urinary cell-free DNA analysis for tumor mutation detection in patients with oligometastatic colorectal cancer.. Journal of Clinical Oncology. 38(15_suppl). e15545–e15545. 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