N Sacks

2.3k citations
28 papers · 1.9k · h-index 18

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • Cancer Cells and Metastasis

Papers in

N Sacks

27 papers receiving 1.8k citations

Peers

N Sacks
Comparison fields: 5 of 97
  • Cancer Research 708
  • Oncology 712
  • Genetics 474
  • Pathology and Forensic Medicine 234
  • Pulmonary and Respiratory Medicine 269
Replace Joan Houghton with:
Joan Houghton United Kingdom
Peter C. Willsher United Kingdom
Yasuo Hozumi Japan
Anne M. Noonan United States
Ted Vandenberg Canada
Orit Freedman Canada
Mahmut Müslümanoğlu Türkiye
Sung Whan Ha South Korea
Robert L. Sutherland Australia
Kory Jasperson United States
N Sacks relative to Joan Houghton United Kingdom Joan Houghton's profile →
Citations per field
00.5×1.5×
Joan Houghton · 1×
Citations per year

Countries citing papers authored by N Sacks

Since Specialization
Citations

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

Fields of papers citing papers by N Sacks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside N Sacks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with N Sacks Line = papers co-authored together N Sacks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995283
2 1994224
3 1995155
4
HER-2 amplification impedes the antiproliferative effects of hormone therapy in estrogen receptor-positive primary breast cancer.
2001153
5 1997145
6 2002125
7 1994125
8 1998115
9 199898
10 200376
11 199374
12 200062
13 199945
14 198739
15 199836
16 199433
17 198931
18 198818
19 199316
20 199512

About N Sacks

N Sacks is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Genetics, Cancer Research and Molecular Biology, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), HER2/EGFR in Cancer Research (7 papers), Breast Cancer Treatment Studies (5 papers), Estrogen and related hormone effects (4 papers), BRCA gene mutations in cancer (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer Treatment and Pharmacology (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (708 citations), Oncology (712 citations), Genetics (474 citations), Pathology and Forensic Medicine (234 citations) and Pulmonary and Respiratory Medicine (269 citations). N Sacks has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Mitch Dowsett, A G Nash, S. Ashley, Tamas Hickish, Mary O’Brien, T.J. Powles, S. Ebbs, Lesley‐Ann Martin, Giles Davies and David Cosgrove. Their work appears in journals such as British Journal of Cancer, The Breast, Annals of Oncology, Journal of Clinical Oncology and The Lancet.

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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