S A Narod

1.6k total citations · 1 hit paper
20 papers, 1.0k citations indexed

About

S A Narod is a scholar working on Genetics, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, S A Narod has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 8 papers in Cancer Research and 6 papers in Pathology and Forensic Medicine. Recurrent topics in S A Narod's work include BRCA gene mutations in cancer (11 papers), Breast Cancer Treatment Studies (4 papers) and Cancer Genomics and Diagnostics (4 papers). S A Narod is often cited by papers focused on BRCA gene mutations in cancer (11 papers), Breast Cancer Treatment Studies (4 papers) and Cancer Genomics and Diagnostics (4 papers). S A Narod collaborates with scholars based in Canada, United States and Poland. S A Narod's co-authors include Peng Sun, Cornelia J. Baines, Clare Wall, Anthony B. Miller, T. To, Jan Lubiński, Cezary Cybulski, Tomasz Byrski, Tomasz Huzarski and J. Gronwald and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and BMJ.

In The Last Decade

S A Narod

20 papers receiving 1.0k citations

Hit Papers

Twenty five year follow-up for breast cancer incidence an... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S A Narod Canada 12 548 315 282 245 229 20 1.0k
Tom Maishman United Kingdom 18 576 1.1× 452 1.4× 235 0.8× 214 0.9× 212 0.9× 45 1.1k
B Asselain France 11 441 0.8× 416 1.3× 141 0.5× 106 0.4× 130 0.6× 28 866
Stephen Duffy United Kingdom 11 784 1.4× 250 0.8× 417 1.5× 116 0.5× 275 1.2× 15 1.3k
Enrique Bargalló‐Rocha Mexico 18 478 0.9× 445 1.4× 181 0.6× 180 0.7× 95 0.4× 82 899
Yiwey Shieh United States 11 393 0.7× 212 0.7× 227 0.8× 101 0.4× 121 0.5× 21 674
Robert Warren United States 13 560 1.0× 384 1.2× 200 0.7× 159 0.6× 185 0.8× 21 873
APM Forrest United Kingdom 10 616 1.1× 352 1.1× 214 0.8× 99 0.4× 76 0.3× 11 800
Robert L. DeWitty United States 16 462 0.8× 370 1.2× 164 0.6× 272 1.1× 82 0.4× 36 983
Jocelyn Chapman United States 15 237 0.4× 279 0.9× 189 0.7× 351 1.4× 236 1.0× 46 1.1k
C. Héry France 12 997 1.8× 223 0.7× 112 0.4× 83 0.3× 129 0.6× 12 1.2k

Countries citing papers authored by S A Narod

Since Specialization
Citations

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

Fields of papers citing papers by S A Narod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S A Narod. 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 S A Narod. The network helps show where S A Narod may publish in the future.

Co-authorship network of co-authors of S A Narod

This figure shows the co-authorship network connecting the top 25 collaborators of S A Narod. A scholar is included among the top collaborators of S A Narod 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 S A Narod. S A Narod 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.
Huzarski, Tomasz, Cezary Cybulski, Dominika Wokołorczyk, et al.. (2014). Survival from breast cancer in patients with CHEK2 mutations. Breast Cancer Research and Treatment. 144(2). 397–403. 11 indexed citations
2.
Baltzer, Heather L., Olivier Alonzo‐Proulx, James G. Mainprize, et al.. (2014). MRI Volumetric Analysis of Breast Fibroglandular Tissue to Assess Risk of the Spared Nipple in BRCA1 and BRCA2 Mutation Carriers. Annals of Surgical Oncology. 21(5). 1583–1588. 17 indexed citations
3.
Byrski, Tomasz, Tomasz Huzarski, R. Dent, et al.. (2014). Pathologic complete response to neoadjuvant cisplatin in BRCA1-positive breast cancer patients. Breast Cancer Research and Treatment. 147(2). 401–405. 177 indexed citations
4.
Miller, Anthony B., Clare Wall, Cornelia J. Baines, et al.. (2014). Twenty five year follow-up for breast cancer incidence and mortality of the Canadian National Breast Screening Study: randomised screening trial. BMJ. 348(feb11 9). g366–g366. 445 indexed citations breakdown →
5.
Weinstock, Chana, et al.. (2012). Outcomes of Surveillance for Contralateral Breast Cancer in Patients Less than Age 60 at the Time of Initial Diagnosis. Current Oncology. 19(3). 160–164. 7 indexed citations
6.
Narod, S A. (2012). Are Bilateral Cancers Hereditary? Part II. Current Oncology. 19(5). 246–247. 1 indexed citations
7.
Narod, S A. (2011). Early-Onset Breast Cancer: What do We Know about the Risk Factors?. Current Oncology. 18(5). 204–205. 6 indexed citations
8.
Al-Sukhni, Wigdan, Ayelet Borgida, Heidi Rothenmund, et al.. (2011). Screening for pancreatic cancer in a high-risk cohort: A 7-year experience.. Journal of Clinical Oncology. 29(15_suppl). 4045–4045. 2 indexed citations
9.
Cybulski, Cezary, Bartłomiej Górski, Tomasz Huzarski, et al.. (2008). Effect of CHEK2 missense variant I157T on the risk of breast cancer in carriers of other CHEK2 or BRCA1 mutations. Journal of Medical Genetics. 46(2). 132–135. 24 indexed citations
10.
Cybulski, Cezary, Dorota Oszutowska–Mazurek, Ewa Jaworowska, et al.. (2008). Constitutional CHEK2 mutations are associated with a decreased risk of lung and laryngeal cancers. Carcinogenesis. 29(4). 762–765. 35 indexed citations
11.
Nam, R., Linda Sugar, Wen‐Yi Yang, et al.. (2007). Expression of the TMPRSS2:ERG fusion gene predicts cancer recurrence after surgery for localised prostate cancer. British Journal of Cancer. 97(12). 1690–1695. 198 indexed citations
12.
Bradlow, H. Leon, et al.. (2005). Comparison of plasma and urinary levels of 2-hydroxyestrogen and 16α-hydroxyestrogen metabolites. Molecular Genetics and Metabolism. 87(2). 135–146. 17 indexed citations
13.
Menkiszak, Janusz, Jacek Gronwald, Bartłomiej Górski, et al.. (2004). Hereditary ovarian cancer in Poland. European Journal of Cancer Supplements. 2(3). 188–188. 2 indexed citations
14.
Phelan, Catherine M., Jan Lubiński, P Ghadirian, et al.. (2003). Cancer variation associated with the position of BRCA2 gene mutation. 1 indexed citations
15.
Esplen, Mary Jane, Brenda B. Toner, Jonathan Hunter, et al.. (2000). A supportive-expressive group intervention for women with a family history of breast cancer: results of a phase II study. Psycho-Oncology. 9(3). 243–252. 36 indexed citations
16.
Esplen, Mary Jane, Brenda B. Toner, Jonathan Hunter, et al.. (2000). A supportive–expressive group intervention for women with a family history of breast cancer: results of a phase II study. Psycho-Oncology. 9(3). 243–252. 2 indexed citations
17.
Zweemer, Ronald P., Patricia A. Shaw, Andy Ryan, et al.. (1999). Accumulation of p53 protein is frequent in ovarian cancers associated with BRCA1 and BRCA2 germline mutations.. Journal of Clinical Pathology. 52(5). 372–375. 33 indexed citations
19.
Nanji, Amin A. & S A Narod. (1986). Multiple sclerosis, latitude and dietary fat: Is pork the missing link?. Medical Hypotheses. 20(3). 279–282. 14 indexed citations
20.
Narod, S A. (1985). CLINICAL VIRAL INFECTIONS AND MULTIPLE SCLEROSIS. The Lancet. 326(8447). 165–166. 4 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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