Edith M. Marom

23.6k total citations · 2 hit papers
198 papers, 7.4k citations indexed

About

Edith M. Marom is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Edith M. Marom has authored 198 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Pulmonary and Respiratory Medicine, 51 papers in Radiology, Nuclear Medicine and Imaging and 48 papers in Neurology. Recurrent topics in Edith M. Marom's work include Lung Cancer Diagnosis and Treatment (51 papers), Myasthenia Gravis and Thymoma (46 papers) and Pleural and Pulmonary Diseases (29 papers). Edith M. Marom is often cited by papers focused on Lung Cancer Diagnosis and Treatment (51 papers), Myasthenia Gravis and Thymoma (46 papers) and Pleural and Pulmonary Diseases (29 papers). Edith M. Marom collaborates with scholars based in United States, Israel and United Kingdom. Edith M. Marom's co-authors include Mylene T. Truong, H. Page McAdams, James E. Herndon, Reginald F. Munden, Frank Detterbeck, Dimitrios P. Kontoyiannis, Jeremy J. Erasmus, Brett W. Carter, Edward F. Patz and Philip C. Goodman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Clinical Infectious Diseases.

In The Last Decade

Edith M. Marom

189 papers receiving 7.3k citations

Hit Papers

The 2015 World Health Organization Classification of Tumo... 2015 2026 2018 2022 2015 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edith M. Marom United States 50 2.8k 2.1k 1.9k 1.8k 1.6k 198 7.4k
Roberto Maroldi Italy 41 1.0k 0.4× 1000 0.5× 621 0.3× 1.8k 1.0× 1.1k 0.7× 179 6.0k
Noriyuki Tomiyama Japan 46 3.8k 1.3× 998 0.5× 1.0k 0.5× 1.5k 0.9× 2.7k 1.7× 400 7.9k
Damien C. Weber Switzerland 50 5.9k 2.1× 1.5k 0.7× 2.3k 1.2× 1.7k 1.0× 2.5k 1.5× 353 11.3k
Federico Venuta Italy 45 4.9k 1.7× 1.8k 0.9× 1.3k 0.7× 2.7k 1.6× 482 0.3× 350 7.9k
Takeshi Johkoh Japan 58 7.8k 2.7× 581 0.3× 2.3k 1.2× 1.2k 0.7× 1.2k 0.7× 278 10.3k
Anne Aupérin France 41 2.4k 0.8× 534 0.3× 1.2k 0.6× 1.5k 0.8× 863 0.5× 119 6.7k
Michael O’Doherty United Kingdom 45 3.2k 1.1× 1.3k 0.6× 556 0.3× 1.2k 0.7× 3.4k 2.1× 157 7.7k
Marilyn J. Siegel United States 46 1.6k 0.6× 566 0.3× 872 0.5× 3.0k 1.7× 1.5k 0.9× 310 7.0k
B. Wechsler France 60 2.8k 1.0× 1.2k 0.6× 1.0k 0.5× 1.1k 0.6× 277 0.2× 277 10.2k
Roberto Passariello Italy 50 3.1k 1.1× 367 0.2× 1.6k 0.8× 3.2k 1.8× 3.2k 2.0× 360 8.8k

Countries citing papers authored by Edith M. Marom

Since Specialization
Citations

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

Fields of papers citing papers by Edith M. Marom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edith M. Marom. 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 Edith M. Marom. The network helps show where Edith M. Marom may publish in the future.

Co-authorship network of co-authors of Edith M. Marom

This figure shows the co-authorship network connecting the top 25 collaborators of Edith M. Marom. A scholar is included among the top collaborators of Edith M. Marom 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 Edith M. Marom. Edith M. Marom 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.
Truong, Mylene T., et al.. (2025). The Ninth Edition TNM Staging System for Thymic Epithelial Tumors: A Comprehensive Review. Radiology Cardiothoracic Imaging. 7(5). e250144–e250144.
2.
Appel, Sarit, et al.. (2025). Pneumonitis after chemoradiation followed by durvalumab for locally advanced lung cancer: predictors and effect on survival. British Journal of Radiology. 98(1173). 1436–1445.
5.
Rami–Porta, Ramón, Katherine K. Nishimura, Dorothy J. Giroux, et al.. (2024). The International Association for the Study of Lung Cancer Lung Cancer Staging Project: Proposals for Revision of the TNM Stage Groups in the Forthcoming (Ninth) Edition of the TNM Classification for Lung Cancer. Journal of Thoracic Oncology. 19(7). 1007–1027. 98 indexed citations breakdown →
6.
Truong, Mylene T., et al.. (2024). RadioGraphics Update: The Ninth Edition TNM Staging System for Thymic Epithelial Tumors. Radiographics. 44(9). e240196–e240196. 2 indexed citations
7.
Strange, Chad D., et al.. (2024). Thymic Imaging Pitfalls and Strategies for Optimized Diagnosis. Radiographics. 44(5). e230091–e230091. 4 indexed citations
8.
Truong, Mylene T., et al.. (2024). Proposed Ninth Edition TNM Staging System for Lung Cancer: Guide for Radiologists. Radiographics. 44(12). e240057–e240057. 4 indexed citations
12.
Nicholson, Andrew G., Frank Detterbeck, Mirella Marino, et al.. (2014). The IASLC/ITMIG Thymic Epithelial Tumors Staging Project: Proposals for the T component for the Forthcoming (8th) Edition of the TNM Classification of Malignant Tumors. Journal of Thoracic Oncology. 9(9). S73–S80. 114 indexed citations
13.
Kondo, Kazuya, Paul Van Schil, Frank Detterbeck, et al.. (2014). The IASLC/ITMIG Thymic Epithelial Tumors Staging Project: Proposals for the N and M Components for the Forthcoming (8th) Edition of the TNM Classification of Malignant Tumors. Journal of Thoracic Oncology. 9(9). S81–S87. 63 indexed citations
14.
Weissferdt, Annikka, Neda Kalhor, Edith M. Marom, et al.. (2013). Early-stage pulmonary adenocarcinoma (T1N0M0): a clinical, radiological, surgical, and pathological correlation of 104 cases. The MD Anderson Cancer Center Experience. Modern Pathology. 26(8). 1065–1075. 9 indexed citations
15.
Benveniste, Marcelo F., César A. Moran, Osama Mawlawi, et al.. (2013). FDG PET-CT Aids in the Preoperative Assessment of Patients with Newly Diagnosed Thymic Epithelial Malignancies. Journal of Thoracic Oncology. 8(4). 502–510. 70 indexed citations
16.
Harvin, John A., Guy Lahat, Arlene M. Correa, et al.. (2011). Neoadjuvant chemoradiotherapy followed by surgery for esophageal adenocarcinoma: Significance of microscopically positive circumferential radial margins. Journal of Thoracic and Cardiovascular Surgery. 143(2). 412–420. 33 indexed citations
17.
Yi, Jeong Geun, Edith M. Marom, Reginald F. Munden, et al.. (2005). Focal Uptake of Fluorodeoxyglucose by the Thyroid in Patients Undergoing Initial Disease Staging with Combined PET/CT for Non–Small Cell Lung Cancer. Radiology. 236(1). 271–275. 68 indexed citations
18.
Marom, Edith M. & Philip C. Goodman. (2002). Double-Ring Esophageal Sign: Pathognomonic for Esophageal Lipomatosis. Journal of Computer Assisted Tomography. 26(4). 584–586.
19.
Marom, Edith M., Thomas A. Aloia, M B Moore, et al.. (2001). Correlation of FDG-PET imaging with Glut-1 and Glut-3 expression in early-stage non-small cell lung cancer. Lung Cancer. 33(2-3). 99–107. 61 indexed citations
20.
Marom, Edith M., Jeremy J. Erasmus, & Edward F. Patz. (2000). Lung cancer and positron emission tomography with fluorodeoxyglucose. Lung Cancer. 28(3). 187–202. 24 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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