Nadia Caplan

439 total citations
10 papers, 252 citations indexed

About

Nadia Caplan is a scholar working on Oncology, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nadia Caplan has authored 10 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Surgery and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nadia Caplan's work include Cancer Immunotherapy and Biomarkers (3 papers), Advanced X-ray and CT Imaging (3 papers) and Immunotherapy and Immune Responses (2 papers). Nadia Caplan is often cited by papers focused on Cancer Immunotherapy and Biomarkers (3 papers), Advanced X-ray and CT Imaging (3 papers) and Immunotherapy and Immune Responses (2 papers). Nadia Caplan collaborates with scholars based in Israel, United States and Türkiye. Nadia Caplan's co-authors include Jacob Sosna, Leo Joskowicz, Dalia Cohen, Michal Lotem, Marina Orevi, Aron Popovtzer, Jonathan Cohen, Shiri Klein, Stephen Jay Frank and Alexander Yakobson and has published in prestigious journals such as Annals of Oncology, European Journal of Nuclear Medicine and Molecular Imaging and Medical Image Analysis.

In The Last Decade

Nadia Caplan

10 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nadia Caplan Israel	7	121	59	57	54	42	10	252
Michael Berks United Kingdom	12	114 0.9×	52 0.9×	41 0.7×	49 0.9×	12 0.3×	36	364
Sara Ahmed United States	9	244 2.0×	52 0.9×	59 1.0×	40 0.7×	19 0.5×	33	362
Pencilla Lang Canada	12	133 1.1×	44 0.7×	67 1.2×	36 0.7×	32 0.8×	50	364
Wei-Lin Chen Taiwan	7	169 1.4×	27 0.5×	42 0.7×	40 0.7×	35 0.8×	9	342
Peter Dankerl Germany	10	146 1.2×	70 1.2×	90 1.6×	42 0.8×	31 0.7×	32	349
Seiichi Murakami Japan	10	158 1.3×	41 0.7×	78 1.4×	49 0.9×	47 1.1×	50	302
Afsaneh Alikhassi Iran	8	182 1.5×	87 1.5×	24 0.4×	82 1.5×	31 0.7×	33	288
Fan Tang China	8	108 0.9×	18 0.3×	62 1.1×	42 0.8×	44 1.0×	19	303
Andrew Lagree Canada	11	192 1.6×	52 0.9×	29 0.5×	151 2.8×	33 0.8×	15	295

Countries citing papers authored by Nadia Caplan

Since Specialization

Citations

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

Fields of papers citing papers by Nadia Caplan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Caplan

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Caplan. A scholar is included among the top collaborators of Nadia Caplan 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 Nadia Caplan. Nadia Caplan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Rubin, Limor, David Lavie, Hovav Nechushtan, et al.. (2024). Targeted inhibition of the IL5 axis for immune checkpoint inhibitors eosinophilic-induced adverse events. Journal for ImmunoTherapy of Cancer. 12(10). e009658–e009658. 2 indexed citations

Orevi, Marina, et al.. (2021). COVID-19 vaccine as a cause for unilateral lymphadenopathy detected by 18F-FDG PET/CT in a patient affected by melanoma. European Journal of Nuclear Medicine and Molecular Imaging. 48(8). 2659–2660. 30 indexed citations

Lev‐Cohain, Naama, Jacob Sosna, Noam Shussman, et al.. (2021). Dual energy CT in acute appendicitis: value of low mono-energy. Clinical Imaging. 77. 213–218. 11 indexed citations

Goldberg, S. Nahum, Nurith Hiller, Nadia Caplan, et al.. (2021). CT severity indices derived from low monoenergetic images at dual-energy CT may improve prediction of outcome in acute pancreatitis. European Radiology. 31(7). 4710–4719. 11 indexed citations

Babiker, Hani M., Erkut Borazanci, Vivek Subbiah, et al.. (2020). 1031P Tilsotolimod engages the TLR9 pathway to promote antigen presentation and type I IFN signaling in solid tumours. Annals of Oncology. 31. S711–S712. 2 indexed citations

Hajaj, Emma, Shiri Klein, Sharon Merims, et al.. (2020). Immunotherapy Potentiates the Effect of Chemotherapy in Metastatic Melanoma—A Retrospective Study. Frontiers in Oncology. 10. 70–70. 30 indexed citations

Joskowicz, Leo, Dalia Cohen, Nadia Caplan, & Jacob Sosna. (2018). Automatic segmentation variability estimation with segmentation priors. Medical Image Analysis. 50. 54–64. 20 indexed citations

Joskowicz, Leo, Dalia Cohen, Nadia Caplan, & Jacob Sosna. (2018). Inter-observer variability of manual contour delineation of structures in CT. European Radiology. 29(3). 1391–1399. 135 indexed citations

Spanier, Assaf B., Nadia Caplan, Jacob Sosna, Burak Acar, & Leo Joskowicz. (2017). A fully automatic end-to-end method for content-based image retrieval of CT scans with similar liver lesion annotations. International Journal of Computer Assisted Radiology and Surgery. 13(1). 165–174. 8 indexed citations

10.

Berardi, Rosemary R. & Nadia Caplan. (1983). Agents with tricyclic structures for treating peptic ulcer disease.. PubMed. 2(5). 425–31. 3 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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