Farahnaz Forozan

1.3k total citations
8 papers, 1.0k citations indexed

About

Farahnaz Forozan is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Farahnaz Forozan has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Farahnaz Forozan's work include Genomic variations and chromosomal abnormalities (5 papers), Genomics and Chromatin Dynamics (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Farahnaz Forozan is often cited by papers focused on Genomic variations and chromosomal abnormalities (5 papers), Genomics and Chromatin Dynamics (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Farahnaz Forozan collaborates with scholars based in United States and Finland. Farahnaz Forozan's co-authors include Anne Kallioniemi, Olli Kallioniemi, Juha Kononen, Stephen P. Ethier, Ritva Karhu, Maarit Bärlund, Outi Monni, NZ Parsa, Gerald Gooden and Yuan Jiang and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and British Journal of Cancer.

In The Last Decade

Farahnaz Forozan

8 papers receiving 988 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Farahnaz Forozan United States	7	662	340	320	275	128	8	1.0k
Siddhartha Deb Australia	20	660 1.0×	435 1.3×	183 0.6×	244 0.9×	96 0.8×	48	1.3k
Archontoula Stoffel United States	12	548 0.8×	259 0.8×	101 0.3×	166 0.6×	102 0.8×	15	826
Maaike P.G. Vreeswijk Netherlands	22	992 1.5×	518 1.5×	649 2.0×	363 1.3×	166 1.3×	50	1.7k
Paul M. Moseley United Kingdom	22	796 1.2×	616 1.8×	111 0.3×	314 1.1×	112 0.9×	45	1.1k
Arusha Oloumi Canada	11	694 1.0×	249 0.7×	179 0.6×	325 1.2×	87 0.7×	12	1.0k
Kristen E. Shannon United States	10	707 1.1×	434 1.3×	276 0.9×	186 0.7×	146 1.1×	10	990
Dineli Wickramasinghe United States	17	953 1.4×	359 1.1×	115 0.4×	161 0.6×	136 1.1×	24	1.6k
Robert Lesurf United States	12	564 0.9×	386 1.1×	123 0.4×	276 1.0×	69 0.5×	14	935
Josephine Mun Yee Ko Hong Kong	24	831 1.3×	491 1.4×	102 0.3×	443 1.6×	133 1.0×	63	1.4k
Marianne Tijssen Netherlands	25	705 1.1×	371 1.1×	157 0.5×	352 1.3×	347 2.7×	40	1.3k

Countries citing papers authored by Farahnaz Forozan

Since Specialization

Citations

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

Fields of papers citing papers by Farahnaz Forozan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farahnaz Forozan

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

All Works

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8 of 8 papers shown

Aftab, Blake T., Rhine R. Shen, Norma Guzmán‐Becerra, et al.. (2020). Correlation of Epstein-Barr virus-specific cytotoxic T lymphocyte precursors (EBV-CTLp) after tabelecleucel with response and survival in rituximab relapsing or refractory EBV+ post-transplant lymphoproliferative disease (PTLD).. Journal of Clinical Oncology. 38(5_suppl). 38–38. 1 indexed citations

Gupta, Ruta, et al.. (2008). Evaluation of EGFR abnormalities in patients with pulmonary adenocarcinoma: the need to test neoplasms with more than one method. Modern Pathology. 22(1). 128–133. 55 indexed citations

Forozan, Farahnaz, Eija Mahlamäki, Outi Monni, et al.. (2000). Comparative genomic hybridization analysis of 38 breast cancer cell lines: a basis for interpreting complementary DNA microarray data.. PubMed. 60(16). 4519–25. 228 indexed citations

Bärlund, Maarit, Farahnaz Forozan, Juha Kononen, et al.. (2000). Detecting Activation of Ribosomal Protein S6 Kinase by Complementary DNA and Tissue Microarray Analysis. JNCI Journal of the National Cancer Institute. 92(15). 1252–1259. 234 indexed citations

Forozan, Farahnaz, et al.. (1999). Molecular cytogenetic analysis of 11 new breast cancer cell lines. British Journal of Cancer. 81(8). 1328–1334. 171 indexed citations

Vidgren, Virve, Asta Varis, Arto Kokkola, et al.. (1999). Concomitant gastrin and ERBB2 gene amplifications at 17q12-q21 in the intestinal type of gastric cancer. Genes Chromosomes and Cancer. 24(1). 24–29. 35 indexed citations

Bärlund, Maarit, Mika Tirkkonen, Farahnaz Forozan, et al.. (1997). Increased copy number at 17q22-q24 by CGH in breast cancer is due to high-level amplification of two separate regions. Genes Chromosomes and Cancer. 20(4). 372–376. 83 indexed citations

Forozan, Farahnaz, Ritva Karhu, Juha Kononen, Anne Kallioniemi, & Olli Kallioniemi. (1997). Genome screening by comparative genomic hybridization. Trends in Genetics. 13(10). 405–409. 220 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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