Ofra Maimon

446 citations
25 papers · 316 · h-index 9

Impact in

Papers in

    • Cancer Risks and Factors 2
    • Cancer Cells and Metastasis 2
    • HER2/EGFR in Cancer Research 2
    • Neuroendocrine Tumor Research Advances 6

Ofra Maimon

23 papers receiving 312 citations

Peers

Ofra Maimon
Comparison fields: 5 of 53
  • Neurology 78
  • Cancer Research 73
  • Endocrinology, Diabetes and Metabolism 67
  • Oncology 100
  • Epidemiology 116
Replace Xuezhu Wang with:
Xuezhu Wang China
Lutske Lodewijk Netherlands
Emilia Alors‐Pérez Spain
Danila Serpico Italy
Navin Niles Australia
Elise M. Blanchet France
Jialong Li China
Jean Leyland United Kingdom
Carla Vaz Ferreira Brazil
Theodora C. Linders Netherlands
Ofra Maimon relative to Xuezhu Wang China Xuezhu Wang's profile →
Citations per field
00.5×10×20×28×
Xuezhu Wang · 1×
Citations per year

Countries citing papers authored by Ofra Maimon

Since Specialization
Citations

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

Fields of papers citing papers by Ofra Maimon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017125
2 201950
3 201820
4 202412
5
The prognostic significance of LIAISON(R) CA15-3 assay in primary breast cancer.
201311
6 201311
7 202010
8 20229
9 20239
10 20208
11 20227
12 20207
13 20236
14 20216
15 20216
16 20244
17 20194
18 20213
19 20232
20 20222

About Ofra Maimon

Ofra Maimon is a scholar working on Oncology, Epidemiology, Cancer Research, Molecular Biology and Surgery, having authored 25 papers that have together received 316 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (6 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Risks and Factors (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Breast Cancer Treatment Studies (2 papers), Cancer Cells and Metastasis (2 papers), Adrenal and Paraganglionic Tumors (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Neurology (78 citations), Cancer Research (73 citations), Endocrinology, Diabetes and Metabolism (67 citations), Oncology (100 citations) and Epidemiology (116 citations). Ofra Maimon has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Amichay Meirovitz, David J. Gross, Simona Grozinsky‐Glasberg, Grace Kong, Michael S. Hofman, Rodney J. Hicks, Jason Callahan, David A. Pattison, Tamar Peretz and Luna Kadouri. Their work appears in journals such as Anticancer Research, Frontiers in Oncology, Biomedicines, Journal of Thoracic Oncology and Frontiers in Cell and Developmental Biology.

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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