Muzaffar Akram

1.9k total citations
22 papers, 1.1k citations indexed

About

Muzaffar Akram is a scholar working on Pathology and Forensic Medicine, Cancer Research and Oncology. According to data from OpenAlex, Muzaffar Akram has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pathology and Forensic Medicine, 10 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Muzaffar Akram's work include Breast Cancer Treatment Studies (7 papers), Breast Lesions and Carcinomas (7 papers) and Cancer Genomics and Diagnostics (5 papers). Muzaffar Akram is often cited by papers focused on Breast Cancer Treatment Studies (7 papers), Breast Lesions and Carcinomas (7 papers) and Cancer Genomics and Diagnostics (5 papers). Muzaffar Akram collaborates with scholars based in United States, United Kingdom and Italy. Muzaffar Akram's co-authors include Edi Brogi, Larry Norton, Lee K. Tan, Melissa P. Murray, Britta Weigelt, Jorge S. Reis‐Filho, William L. Gerald, Philip B. Paty, Jinru Shia and Laura Liberman and has published in prestigious journals such as Cell, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Muzaffar Akram

21 papers receiving 1.1k citations

Peers

Muzaffar Akram
Suzanne Parry United Kingdom
Laura Fulford United Kingdom
Felipe C. Geyer United Kingdom
J. S. Reis-Filho United Kingdom
Colm Hennessy United Kingdom
Suzanne Parry United Kingdom
Muzaffar Akram
Citations per year, relative to Muzaffar Akram Muzaffar Akram (= 1×) peers Suzanne Parry

Countries citing papers authored by Muzaffar Akram

Since Specialization
Citations

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

Fields of papers citing papers by Muzaffar Akram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muzaffar Akram

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

All Works

20 of 20 papers shown
1.
Zeng, Jennifer, Salvatore Piscuoglio, Maria A. Friedlander, et al.. (2019). Hormone receptor and HER2 assessment in breast carcinoma metastatic to bone: A comparison between FNA cell blocks and decalcified core needle biopsies. Cancer Cytopathology. 128(2). 133–145. 7 indexed citations
2.
Gao, Hua, Goutam Chakraborty, Zhanguo Zhang, et al.. (2016). Multi-organ Site Metastatic Reactivation Mediated by Non-canonical Discoidin Domain Receptor 1 Signaling. Cell. 166(1). 47–62. 186 indexed citations
3.
Weisman, Paul, Charlotte K.Y. Ng, Edi Brogi, et al.. (2016). Genetic alterations of triple negative breast cancer by targeted next-generation sequencing and correlation with tumor morphology. Modern Pathology. 29(5). 476–488. 85 indexed citations
4.
Ross, Dara S., Dilip D. Giri, Muzaffar Akram, et al.. (2016). Fibroepithelial Lesions in the Breast of Adolescent Females: A Clinicopathological Study of 54 Cases. The Breast Journal. 23(2). 182–192. 29 indexed citations
5.
Jhaveri, Komal, Sarat Chandarlapaty, Neil M. Iyengar, et al.. (2015). Biomarkers That Predict Sensitivity to Heat Shock Protein 90 Inhibitors. Clinical Breast Cancer. 16(4). 276–283. 10 indexed citations
6.
Piscuoglio, Salvatore, Melissa P. Murray, Nicola Fusco, et al.. (2015). MED12 somatic mutations in fibroadenomas and phyllodes tumours of the breast. Histopathology. 67(5). 719–729. 64 indexed citations
7.
Gucalp, Ayca, Margaret Krasne, Esther Drill, et al.. (2014). CK14, FOXA1, and androgen receptor (AR) expression in patients (pts) with triple-negative breast cancer (TNBC).. Journal of Clinical Oncology. 32(15_suppl). 1126–1126. 2 indexed citations
8.
Tozbikian, Gary, Edi Brogi, Kyuichi Kadota, et al.. (2014). Mesothelin Expression in Triple Negative Breast Carcinomas Correlates Significantly with Basal-Like Phenotype, Distant Metastases and Decreased Survival. PLoS ONE. 9(12). e114900–e114900. 77 indexed citations
9.
Barbashina, Violetta, Adriana Corben, Muzaffar Akram, Christina Vallejo, & Lee K. Tan. (2013). Mucinous micropapillary carcinoma of the breast: an aggressive counterpart to conventional pure mucinous tumors. Human Pathology. 44(8). 1577–1585. 53 indexed citations
10.
Wen, Yong, Edi Brogi, Zhaoshi Zeng, et al.. (2012). DNA Mismatch Repair Deficiency in Breast Carcinoma. The American Journal of Surgical Pathology. 36(11). 1700–1708. 43 indexed citations
11.
Murray, Melissa P., et al.. (2012). Classic lobular carcinoma in situ and atypical lobular hyperplasia at percutaneous breast core biopsy. Cancer. 119(5). 1073–1079. 92 indexed citations
12.
Wen, Yong, Alice Y. Ho, Sujata Patil, et al.. (2012). Id4 protein is highly expressed in triple-negative breast carcinomas: possible implications for BRCA1 downregulation. Breast Cancer Research and Treatment. 135(1). 93–102. 28 indexed citations
13.
Jhaveri, Komal, Neil M. Iyengar, Adriana Corben, et al.. (2012). Biomarkers that predict sensitivity to heat shock protein 90 inhibitors (HSP90i).. Journal of Clinical Oncology. 30(15_suppl). 10618–10618. 4 indexed citations
14.
Qian, Yongzhen, Emily Hua, Kheem S. Bisht, et al.. (2011). Inhibition of Polo-like kinase 1 prevents the growth of metastatic breast cancer cells in the brain. Clinical & Experimental Metastasis. 28(8). 899–908. 33 indexed citations
15.
Wynveen, Christine A., et al.. (2010). Intracystic Papillary Carcinoma of the Breast. The American Journal of Surgical Pathology. 35(1). 1–14. 65 indexed citations
16.
Shia, Jinru, David S. Klimstra, Allan R. Li, et al.. (2005). Epidermal growth factor receptor expression and gene amplification in colorectal carcinoma: an immunohistochemical and chromogenic in situ hybridization study. Modern Pathology. 18(10). 1350–1356. 127 indexed citations
17.
Tornos, Carmen, Robert A. Soslow, Muzaffar Akram, et al.. (2005). Expression of WT1, CA 125, and GCDFP-15 as Useful Markers in the Differential Diagnosis of Primary Ovarian Carcinomas Versus Metastatic Breast Cancer to the Ovary. The American Journal of Surgical Pathology. 29(11). 1482–1489. 102 indexed citations
18.
Mora, Jaume, Muzaffar Akram, & William L. Gerald. (2002). [20] Comparison of normal and tumor cells by laser capture microdissection. Methods in enzymology on CD-ROM/Methods in enzymology. 356. 240–247. 6 indexed citations
19.
Mora, Jaume, Muzaffar Akram, Nai‐Kong V. Cheung, Lishi Chen, & William L. Gerald. (2000). Laser-capture microdissected Schwannian and neuroblastic cells in stage 4 neuroblastomas have the same genetic alterations. Medical and Pediatric Oncology. 35(6). 534–537. 10 indexed citations
20.
Shapiro, Stanley H. & Muzaffar Akram. (1994). Microwave Iron Hematoxylin Stain: A Rapid Procedure for Histology. Laboratory Medicine. 25(12). 795–798.

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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