NPM Sacks

2.3k citations
27 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

NPM Sacks

26 papers receiving 1.8k citations

Peers

NPM Sacks
Comparison fields: 5 of 97
  • Cancer Research 728
  • Oncology 729
  • Genetics 482
  • Pathology and Forensic Medicine 240
  • Pulmonary and Respiratory Medicine 276
Replace Joan Houghton with:
Joan Houghton United Kingdom
Rebecca Arielle Shatsky United States
Peter C. Willsher United Kingdom
Kuk Jin Choe South Korea
Tomo Tominaga Japan
Herbert Volk United States
Karin M. Gwyn United States
Cesar G Sanchez Chile
Maho Ogawa Japan
Robert W. Frelick United States
NPM Sacks relative to Joan Houghton United Kingdom Joan Houghton's profile →
Citations per field
00.5×1.5×2×
Joan Houghton · 1×
Citations per year

Countries citing papers authored by NPM Sacks

Since Specialization
Citations

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

Fields of papers citing papers by NPM Sacks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside NPM 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 NPM Sacks Line = papers co-authored together NPM Sacks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995287
2 1994228
3 1995161
4
HER-2 amplification impedes the antiproliferative effects of hormone therapy in estrogen receptor-positive primary breast cancer.
2001154
5 1997149
6 1994131
7 2002126
8 1998119
9 199898
10 200379
11 199376
12 200060
13 199946
14 198739
15 199838
16 199433
17 198933
18 198818
19 199316
20 199512

About NPM Sacks

NPM Sacks is a scholar working on Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology, having authored 27 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), Family Support in Illness (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Cancer Research (728 citations), Oncology (729 citations), Genetics (482 citations), Pathology and Forensic Medicine (240 citations) and Pulmonary and Respiratory Medicine (276 citations). NPM Sacks has collaborated with scholars based in United Kingdom, Australia and Cuba. Frequent co-authors include Mitch Dowsett, A G Nash, Sue E. Ashley, Tamas Hickish, T.J. Powles, Mary E.R. O'Brien, Stephen R. Ebbs, Lesley‐Ann Martin, Giles Davies and Gemma Walsh. Their work appears in journals such as British Journal of Cancer, Journal of Clinical Oncology, Annals of Oncology, The Breast and European Journal of Cancer.

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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