Eva Segelov

4.6k total citations · 1 hit paper
158 papers, 2.4k citations indexed

About

Eva Segelov is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Eva Segelov has authored 158 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Oncology, 36 papers in Pulmonary and Respiratory Medicine and 30 papers in Surgery. Recurrent topics in Eva Segelov's work include Colorectal Cancer Treatments and Studies (39 papers), Genetic factors in colorectal cancer (20 papers) and Neuroendocrine Tumor Research Advances (18 papers). Eva Segelov is often cited by papers focused on Colorectal Cancer Treatments and Studies (39 papers), Genetic factors in colorectal cancer (20 papers) and Neuroendocrine Tumor Research Advances (18 papers). Eva Segelov collaborates with scholars based in Australia, United States and United Kingdom. Eva Segelov's co-authors include Nick Pavlakis, David Chan, Simron Singh, Timothy Price, Niall C. Tebbutt, Daphne Day, Christos S. Karapetis, Stephen J. Nicholls, Sean Tan and Jeremy Shapiro and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Eva Segelov

153 papers receiving 2.3k citations

Hit Papers

Immune Checkpoint Inhibitor Therapy in Oncology 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Segelov Australia 25 1.4k 526 419 417 375 158 2.4k
Henrike E. Karim‐Kos Netherlands 27 1.4k 0.9× 396 0.8× 582 1.4× 453 1.1× 356 0.9× 67 2.7k
Laura Giordano Italy 31 982 0.7× 318 0.6× 873 2.1× 305 0.7× 387 1.0× 165 3.3k
Hassan Errihani Morocco 25 1.3k 0.9× 335 0.6× 568 1.4× 514 1.2× 291 0.8× 306 2.6k
Christina Chu United States 31 1.8k 1.2× 323 0.6× 302 0.7× 476 1.1× 536 1.4× 102 3.8k
Baruch Brenner Israel 34 2.3k 1.6× 571 1.1× 816 1.9× 1.0k 2.5× 424 1.1× 158 3.8k
Noelle K. LoConte United States 25 2.1k 1.5× 497 0.9× 579 1.4× 771 1.8× 478 1.3× 130 3.4k
Robert Sidlow United States 17 2.7k 1.9× 379 0.7× 824 2.0× 257 0.6× 473 1.3× 24 4.0k
Daneng Li United States 24 1.8k 1.2× 685 1.3× 690 1.6× 804 1.9× 286 0.8× 136 3.5k
Jubilee Brown United States 32 877 0.6× 408 0.8× 401 1.0× 825 2.0× 468 1.2× 130 3.3k
Quyen D. Chu United States 25 1.0k 0.7× 333 0.6× 345 0.8× 648 1.6× 350 0.9× 134 2.4k

Countries citing papers authored by Eva Segelov

Since Specialization
Citations

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

Fields of papers citing papers by Eva Segelov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Segelov

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Segelov. A scholar is included among the top collaborators of Eva Segelov 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 Eva Segelov. Eva Segelov 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.
Nightingale, Claire, et al.. (2024). Differences in cancer clinical trial activity and trial characteristics at metropolitan and rural trial sites in Victoria, Australia. Australian Journal of Rural Health. 32(3). 569–581. 2 indexed citations
2.
3.
Grech, Lisa, et al.. (2024). COVID-19 Vaccine Acceptance, Hesitancy, and Uptake in People with Diabetes in Australia. Vaccines. 12(6). 662–662.
4.
Tan, Sean, Adam J. Nelson, Rahul G. Muthalaly, et al.. (2024). Cardiovascular risk in cancer patients treated with immune checkpoint inhibitors: challenges and future directions. European Journal of Preventive Cardiology. 33(4). 472–480. 1 indexed citations
5.
Tan, Sean, et al.. (2023). Cardiovascular risk factor reporting in immune checkpoint inhibitor trials: A systematic review. Cancer Epidemiology. 83. 102334–102334. 6 indexed citations
7.
Segelov, Eva, Wei Wang, Gwo Fuang Ho, et al.. (2023). LBA29 Aspirin after standard adjuvant therapy for colorectal cancers (ASCOLT): An international, phase III, randomised, placebo-controlled trial. Annals of Oncology. 34. S1269–S1269. 2 indexed citations
9.
Tan, Sean, Adam J. Nelson, Muhammad Alamgeer, et al.. (2023). Atherosclerotic Cardiovascular Events in Cancer Patients Treated With Immune Checkpoint Inhibitors: A Retrospective Cohort Study. Heart Lung and Circulation. 33(5). 721–729. 4 indexed citations
10.
Martina, Diah & Eva Segelov. (2023). Improving Equity Across Cancer Care Continuum in Asia Pacific. JCO Global Oncology. 9(9). e2300056–e2300056. 1 indexed citations
11.
Franco, Pierfrancesco, Eva Segelov, Anders Johnsson, et al.. (2022). A Machine-Learning-Based Bibliometric Analysis of the Scientific Literature on Anal Cancer. Cancers. 14(7). 1697–1697. 10 indexed citations
12.
Grech, Lisa, Bao Sheng Loe, Daphne Day, et al.. (2022). The Disease Influenced Vaccine Acceptance Scale-Six (DIVAS-6): Validation of a Measure to Assess Disease-Related COVID-19 Vaccine Attitudes and Concerns. Behavioral Medicine. 49(4). 402–411. 5 indexed citations
13.
Segelov, Eva, Sanchia Aranda, David C. Currow, et al.. (2021). Developing clinical indicators for oncology: the inaugural cancer care indicator set for the Australian Council on Healthcare Standards. The Medical Journal of Australia. 214(11). 528–531. 3 indexed citations
14.
Currey, Nicola, Mark A. Jenkins, Daniel D. Buchanan, et al.. (2021). Tetranucleotide and Low Microsatellite Instability Are Inversely Associated with the CpG Island Methylator Phenotype in Colorectal Cancer. Cancers. 13(14). 3529–3529. 5 indexed citations
15.
Jackson, Christopher, Eva Segelov, Hans Prenen, et al.. (2021). Oral paclitaxel with encequidar compared to intravenous paclitaxel in patients with advanced cancer: A randomised crossover pharmacokinetic study. British Journal of Clinical Pharmacology. 87(12). 4670–4680. 11 indexed citations
16.
Blinman, Prunella, Andrew Martin, Michael Jefford, et al.. (2020). Patients’ Preferences for 3 Months vs 6 Months of Adjuvant Chemotherapy for Colon Cancer. JNCI Cancer Spectrum. 5(1). 4 indexed citations
17.
Prenen, Hans, et al.. (2020). Refractory Metastatic Colorectal Cancer: Current Challenges and Future Prospects. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Kwan, Edmond M., Heidi Fettke, Maria Docanto, et al.. (2019). Prognostic Utility of a Whole-blood Androgen Receptor-based Gene Signature in Metastatic Castration-resistant Prostate Cancer. European Urology Focus. 7(1). 63–70. 11 indexed citations
19.
Franco, Michael, et al.. (2018). An expanded role oncology pharmacist adds value to symptom and urgent review clinics. Asia-Pacific Journal of Clinical Oncology.
20.
Strosberg, Jonathan, Þorvarður R. Hálfdánarson, Andrew M. Bellizzi, et al.. (2017). The North American Neuroendocrine Tumor Society Consensus Guidelines for Surveillance and Medical Management of Midgut Neuroendocrine Tumors. Pancreas. 46(6). 707–714. 262 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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