Naif Zaman

480 total citations
8 papers, 380 citations indexed

About

Naif Zaman is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Naif Zaman has authored 8 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Naif Zaman's work include Cancer Genomics and Diagnostics (4 papers), Bioinformatics and Genomic Networks (3 papers) and Prostate Cancer Treatment and Research (2 papers). Naif Zaman is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Bioinformatics and Genomic Networks (3 papers) and Prostate Cancer Treatment and Research (2 papers). Naif Zaman collaborates with scholars based in Canada, China and United States. Naif Zaman's co-authors include Edwin Wang, Mark Trifiro, Jinfeng Zou, Miltiadis Paliouras, Maureen D. O'Connor‐McCourt, Chabane Tibiche, Lenore K. Beitel, María Jaramillo, Lei Li and M. Banville and has published in prestigious journals such as PLoS ONE, Cell Reports and Atherosclerosis.

In The Last Decade

Naif Zaman

8 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Naif Zaman Canada	7	261	165	78	62	42	8	380
Victor Tkachev Russia	13	278 1.1×	113 0.7×	74 0.9×	61 1.0×	30 0.7×	32	420
Natalie Goldberger United States	7	296 1.1×	94 0.6×	116 1.5×	67 1.1×	40 1.0×	10	462
Gizem Gülfidan Türkiye	12	244 0.9×	85 0.5×	83 1.1×	71 1.1×	47 1.1×	23	397
Hayley E. Francies United Kingdom	10	246 0.9×	128 0.8×	52 0.7×	178 2.9×	48 1.1×	17	436
Xiuyi Yu China	12	236 0.9×	99 0.6×	62 0.8×	82 1.3×	14 0.3×	24	371
Evan Paull United States	11	512 2.0×	188 1.1×	125 1.6×	75 1.2×	79 1.9×	17	664
Yevgeniy Gindin United States	10	339 1.3×	160 1.0×	44 0.6×	89 1.4×	23 0.5×	18	511
Berta Martín Spain	9	218 0.8×	92 0.6×	49 0.6×	96 1.5×	19 0.5×	14	328
Salim A. Chowdhury United States	13	321 1.2×	200 1.2×	46 0.6×	79 1.3×	49 1.2×	15	471
Eléonore Gravier France	8	275 1.1×	130 0.8×	79 1.0×	172 2.8×	14 0.3×	9	437

Countries citing papers authored by Naif Zaman

Since Specialization

Citations

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

Fields of papers citing papers by Naif Zaman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naif Zaman

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

8 of 8 papers shown

Tibiche, Chabane, Naif Zaman, Jinfeng Zou, et al.. (2021). eTumorMetastasis: A Network-Based Algorithm Predicts Clinical Outcomes Using Whole-Exome Sequencing Data of Cancer Patients. Genomics Proteomics & Bioinformatics. 19(6). 973–985. 6 indexed citations

Paliouras, Miltiadis, Lenore K. Beitel, Bruce Gottlieb, et al.. (2015). Characterization of the NPC1L1 gene and proteome from an exceptional responder to ezetimibe. Atherosclerosis. 246. 78–86. 5 indexed citations

Tibiche, Chabane, Jinfeng Zou, Naif Zaman, et al.. (2015). Identification and Construction of Combinatory Cancer Hallmark–Based Gene Signature Sets to Predict Recurrence and Chemotherapy Benefit in Stage II Colorectal Cancer. JAMA Oncology. 2(1). 37–37. 119 indexed citations

Zaman, Naif, Shafinaz F. Chowdhury, Éric Bonneil, et al.. (2014). Proteomic-Coupled-Network Analysis of T877A-Androgen Receptor Interactomes Can Predict Clinical Prostate Cancer Outcomes between White (Non-Hispanic) and African-American Groups. PLoS ONE. 9(11). e113190–e113190. 17 indexed citations

Wang, Edwin, Jinfeng Zou, Naif Zaman, et al.. (2013). Cancer systems biology in the genome sequencing era: Part 1, dissecting and modeling of tumor clones and their networks. Seminars in Cancer Biology. 23(4). 279–285. 67 indexed citations

Zaman, Naif, Lei Li, María Jaramillo, et al.. (2013). Signaling Network Assessment of Mutations and Copy Number Variations Predict Breast Cancer Subtype-Specific Drug Targets. Cell Reports. 5(1). 216–223. 92 indexed citations

Wang, Edwin, Jinfeng Zou, Naif Zaman, et al.. (2013). Cancer systems biology in the genome sequencing era: Part 2, evolutionary dynamics of tumor clonal networks and drug resistance. Seminars in Cancer Biology. 23(4). 286–292. 56 indexed citations

Paliouras, Miltiadis, Naif Zaman, Rose Lumbroso, et al.. (2011). Dynamic rewiring of the androgen receptor protein interaction network correlates with prostate cancer clinical outcomes. Integrative Biology. 3(10). 1020–1020. 18 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