Nima C. Emami

977 total citations
7 papers, 249 citations indexed

About

Nima C. Emami is a scholar working on Genetics, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nima C. Emami has authored 7 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nima C. Emami's work include Genetic Associations and Epidemiology (4 papers), Prostate Cancer Treatment and Research (2 papers) and Molecular Biology Techniques and Applications (2 papers). Nima C. Emami is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Prostate Cancer Treatment and Research (2 papers) and Molecular Biology Techniques and Applications (2 papers). Nima C. Emami collaborates with scholars based in United States, Poland and Iran. Nima C. Emami's co-authors include John S. Witte, Elad Ziv, Joshua Hoffman, Rebecca E. Graff, Taylor B. Cavazos, Thomas J. Hoffmann, Linda Kachuri, Travis J. Meyers, Stephen K. Van Den Eeden and Khanh K. Thai and has published in prestigious journals such as Nature Communications, Cancer Research and PLoS Genetics.

In The Last Decade

Nima C. Emami

7 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nima C. Emami United States	5	131	105	69	52	31	7	249
Zachary C. Fogarty United States	9	139 1.1×	70 0.7×	96 1.4×	55 1.1×	8 0.3×	22	251
Katherine V. Clark-Knowles Canada	8	161 1.2×	91 0.9×	72 1.0×	31 0.6×	44 1.4×	13	359
Joe Dennis United Kingdom	9	88 0.7×	109 1.0×	61 0.9×	30 0.6×	39 1.3×	24	247
Vida Stegel Slovenia	11	143 1.1×	135 1.3×	87 1.3×	28 0.5×	56 1.8×	36	334
Susanna Aussó Spain	8	134 1.0×	41 0.4×	93 1.3×	98 1.9×	48 1.5×	11	275
Danielle Castillo United States	9	130 1.0×	222 2.1×	103 1.5×	34 0.7×	60 1.9×	27	327
Sawinee Masser Germany	6	139 1.1×	34 0.3×	62 0.9×	97 1.9×	16 0.5×	7	205
Nicoletta Provinciali Italy	9	83 0.6×	48 0.5×	119 1.7×	54 1.0×	38 1.2×	22	308
Alexander N. Gorelick United States	8	161 1.2×	25 0.2×	84 1.2×	35 0.7×	25 0.8×	9	248
Joanna Matyjasik Poland	7	167 1.3×	154 1.5×	95 1.4×	71 1.4×	85 2.7×	11	316

Countries citing papers authored by Nima C. Emami

Since Specialization

Citations

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

Fields of papers citing papers by Nima C. Emami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nima C. Emami. 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 Nima C. Emami. The network helps show where Nima C. Emami may publish in the future.

Co-authorship network of co-authors of Nima C. Emami

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

All Works

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7 of 7 papers shown

Cario, Clinton L., Nima C. Emami, Imelda Tenggara, et al.. (2020). A machine learning approach to optimizing cell-free DNA sequencing panels: with an application to prostate cancer. BMC Cancer. 20(1). 820–820. 11 indexed citations

Rashkin, Sara R., Rebecca E. Graff, Linda Kachuri, et al.. (2020). Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts. Nature Communications. 11(1). 4423–4423. 137 indexed citations

Wu, Lang, Jifeng Wang, Qiuyin Cai, et al.. (2019). Identification of Novel Susceptibility Loci and Genes for Prostate Cancer Risk: A Transcriptome-Wide Association Study in Over 140,000 European Descendants. Cancer Research. 79(13). 3192–3204. 37 indexed citations

Emami, Nima C., Linda Kachuri, Travis J. Meyers, et al.. (2019). Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms. Nature Communications. 10(1). 3107–3107. 22 indexed citations

Hoffman, Joshua, Rebecca E. Graff, Nima C. Emami, et al.. (2017). Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk. PLoS Genetics. 13(3). e1006690–e1006690. 39 indexed citations

Rowghani, E., et al.. (2016). Sweet sorghum and its bagasse ensiled with urea and molasses can be used as alternatives for maize silage in semi-arid areas from in situ and gas production evaluations. Research opinions in animal & veterinary sciences. 6(8). 248–255. 1 indexed citations

Emami, Nima C., Eunice Wan, Erin L. Van Blarigan, et al.. (2016). Tissue Sources for Accurate Measurement of Germline DNA Genotypes in Prostate Cancer Patients Treated With Radical Prostatectomy. The Prostate. 77(4). 425–434. 2 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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