L. Assersohn

2.4k citations
21 papers · 1.2k · h-index 15

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • HER2/EGFR in Cancer Research

Papers in

    • Cancer Treatment and Pharmacology 2
    • HER2/EGFR in Cancer Research 2
    • Lung Cancer Research Studies 1
    • Breast Cancer Treatment Studies 6

L. Assersohn

20 papers receiving 1.1k citations

Peers

L. Assersohn
Comparison fields: 5 of 74
  • Cancer Research 353
  • Oncology 329
  • Radiology, Nuclear Medicine and Imaging 193
  • Pathology and Forensic Medicine 101
  • Pulmonary and Respiratory Medicine 168
Replace Dara S. Ross with:
Dara S. Ross United States
Cecilia Bozzetti Italy
Timothy Akhurst United States
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Citations per field
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Citations per year

Countries citing papers authored by L. Assersohn

Since Specialization
Citations

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

Fields of papers citing papers by L. Assersohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006193
2 2002186
3 1999184
4 2003111
5 200698
6
The feasibility of using fine needle aspiration from primary breast cancers for cDNA microarray analyses.
200267
7 199957
8 200354
9 199946
10 199943
11 201127
12 200224
13 200824
14 200315
15 200514
16 200610
17 20176
18 20055
19
BRCA1, BRCA2 and pedigree genetic analysis to determine genetic risk in the UK Royal Marsden Hospital tamoxifen prevention trial
19992
20 20001

About L. Assersohn

L. Assersohn is a scholar working on Oncology, Cancer Research, Genetics, Surgery and Molecular Biology, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), BRCA gene mutations in cancer (3 papers), Cancer Treatment and Pharmacology (2 papers), Gastric Cancer Management and Outcomes (2 papers), HER2/EGFR in Cancer Research (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), DNA Repair Mechanisms (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Cancer Research (353 citations), Oncology (329 citations), Radiology, Nuclear Medicine and Imaging (193 citations), Pathology and Forensic Medicine (101 citations) and Pulmonary and Respiratory Medicine (168 citations). L. Assersohn has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Mitch Dowsett, Trevor J. Powles, Andreas Makris, R.K. Gregory, Edison T. Liu, David Cunningham, J. Oates, T.J. Powles, Carmel Hayes and Martin O. Leach. Their work appears in journals such as British Journal of Cancer, Journal of Clinical Oncology, Breast Cancer Research and Treatment, European Journal of Cancer and Annals of Oncology.

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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