David Kamson

1.2k total citations
74 papers, 800 citations indexed

About

David Kamson is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David Kamson has authored 74 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Genetics, 31 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David Kamson's work include Glioma Diagnosis and Treatment (38 papers), Advanced MRI Techniques and Applications (14 papers) and Brain Metastases and Treatment (13 papers). David Kamson is often cited by papers focused on Glioma Diagnosis and Treatment (38 papers), Advanced MRI Techniques and Applications (14 papers) and Brain Metastases and Treatment (13 papers). David Kamson collaborates with scholars based in United States, Hungary and Germany. David Kamson's co-authors include Csaba Juhász, Sandeep Mittal, Geoffrey Barger, Sharon K. Michelhaugh, Anita Trauninger, Stuart A. Grossman, Zoltán Pfund, Edit Bosnyák, Mihály Aradi and G. Orsi and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.

In The Last Decade

David Kamson

62 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Kamson United States 16 284 265 184 158 129 74 800
Christina Schaub Germany 15 302 1.1× 138 0.5× 94 0.5× 157 1.0× 70 0.5× 49 713
Vibeke Andrée Larsen Denmark 13 214 0.8× 186 0.7× 319 1.7× 83 0.5× 129 1.0× 43 795
Rasheed Zakaria United Kingdom 18 264 0.9× 136 0.5× 49 0.3× 286 1.8× 155 1.2× 67 943
Ryosuke Hanaya Japan 19 560 2.0× 428 1.6× 393 2.1× 138 0.9× 309 2.4× 130 1.7k
Joseph Mantil United States 14 190 0.7× 403 1.5× 113 0.6× 181 1.1× 80 0.6× 30 1.0k
Davis C. Woodworth United States 19 356 1.3× 466 1.8× 132 0.7× 79 0.5× 71 0.6× 47 972
Pedro Roldán Spain 17 239 0.8× 138 0.5× 90 0.5× 68 0.4× 275 2.1× 91 871
Aruna Chakrabarty United Kingdom 18 186 0.7× 88 0.3× 186 1.0× 209 1.3× 195 1.5× 49 932
H. Wassmann Germany 21 401 1.4× 375 1.4× 79 0.4× 183 1.2× 319 2.5× 76 1.2k
Stephanie M. Robert United States 13 369 1.3× 81 0.3× 103 0.6× 123 0.8× 78 0.6× 23 1.2k

Countries citing papers authored by David Kamson

Since Specialization
Citations

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

Fields of papers citing papers by David Kamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kamson

This figure shows the co-authorship network connecting the top 25 collaborators of David Kamson. A scholar is included among the top collaborators of David Kamson 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 David Kamson. David Kamson 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.
Knutsson, Linda, Nirbhay N. Yadav, David Kamson, et al.. (2025). Dynamic glucose enhanced imaging using direct water saturation. Magnetic Resonance in Medicine. 94(1). 15–27.
2.
Rogers, James L., Chad A. Caraway, Ali Ahmed, et al.. (2025). Clinical Outcome Assessment Tools for Evaluating the Management of Gliomas. Cancers. 17(10). 1659–1659.
3.
Sherief, Mohamed, Haris I. Sair, Karisa C. Schreck, et al.. (2025). Volumetric Analysis of Contrast Enhancement in Patients With Newly Diagnosed Glioblastomas. Neurosurgery.
4.
Dixit, Karan, David Kamson, Craig Horbinski, et al.. (2025). The excitatory milieu in glioma: Mechanisms and therapeutic avenues. Neuro-Oncology. 27(8). 1932–1945. 1 indexed citations
5.
Yuen, Carlen, et al.. (2025). Meningioma: Novel Diagnostic and Therapeutic Approaches. Biomedicines. 13(3). 659–659. 3 indexed citations
6.
Marrone, Kristen A., Joseph C. Murray, Josephine Feliciano, et al.. (2025). Distinct size and spatial distribution patterns of ALK-inhibitor-naïve versus ALK-inhibitor exposed ALK-positive NSCLC brain metastases. Journal of Neuro-Oncology. 175(2). 561–569.
8.
Rizk, Emanuelle M., Mohamed Sherief, Michael Chang, et al.. (2024). Molecular characterization of gliosarcoma reveals prognostic biomarkers and clinical parallels with glioblastoma. Journal of Neuro-Oncology. 171(2). 403–411.
9.
Sloan, Lindsey, Rupashree Sen, Michèle Doucet, et al.. (2024). Radiation immunodynamics in patients with glioblastoma receiving chemoradiation. Frontiers in Immunology. 15. 1438044–1438044. 3 indexed citations
10.
Jiang, Kelly, David Kamson, Kristin J. Redmond, et al.. (2024). EPID-29. EPIDEMIOLOGICAL CHARACTERIZATION OF BRAIN METASTASES IN MELANOMA: A LARGE POPULATION BASED-STUDY FROM 2014-2024. Neuro-Oncology. 26(Supplement_8). viii144–viii144. 1 indexed citations
11.
John, Flóra, Gábor Perlaki, G. Orsi, et al.. (2024). Differentiation of hemispheric white matter lesions in migraine and multiple sclerosis with similar radiological features using advanced MRI. Frontiers in Neuroscience. 18. 1384073–1384073. 1 indexed citations
12.
Kamson, David, Stuart A. Grossman, Chetan Bettegowda, et al.. (2023). In-vivo magnetic resonance spectroscopy of lactate as a non-invasive biomarker of dichloroacetate activity in cancer and non-cancer central nervous system disorders. Frontiers in Oncology. 13. 1077461–1077461. 8 indexed citations
13.
Kamson, David, et al.. (2023). Impact of Frontline Ivosidenib on Volumetric Growth Patterns in Isocitrate Dehydrogenase–mutant Astrocytic and Oligodendroglial Tumors. Clinical Cancer Research. 29(23). 4863–4869. 14 indexed citations
14.
Jiang, Kelly, Jordina Rincón-Torroella, Tej D. Azad, et al.. (2023). Epidemiological trends, prognostic factors, and survival outcomes of synchronous brain metastases from 2015 to 2019: a population-based study. Neuro-Oncology Advances. 5(1). vdad015–vdad015. 10 indexed citations
15.
Kamson, David, et al.. (2023). Downfield Proton MRSI at 3 Tesla: A Pilot Study in Human Brain Tumors. Cancers. 15(17). 4311–4311. 2 indexed citations
16.
Han, Zheng, Xiang Xu, Ren-Yuan Bai, et al.. (2021). Dynamic contrast‐enhanced CEST MRI using a low molecular weight dextran. NMR in Biomedicine. 35(3). e4649–e4649. 13 indexed citations
17.
Ye, Xiaobu, Omar Dzaye, Nina D. Wagner‐Johnston, et al.. (2019). White matter changes in primary central nervous system lymphoma patients treated with high-dose methotrexate with or without rituximab. Journal of Neuro-Oncology. 145(3). 461–466. 11 indexed citations
18.
Kamson, David, Otto Muzik, Pulak K. Chakraborty, et al.. (2014). Clinical Significance of Tryptophan Metabolism in the Nontumoral Hemisphere in Patients with Malignant Glioma. Journal of Nuclear Medicine. 55(10). 1605–1610. 9 indexed citations
19.
Christensen, Michael, David Kamson, M Snyder, et al.. (2013). Tryptophan PET-defined gross tumor volume offers better coverage of initial progression than standard MRI-based planning in glioblastoma patients. Journal of Radiation Oncology. 3(2). 131–138. 11 indexed citations
20.
Kamson, David, Csaba Juhász, William J. Kupsky, et al.. (2013). Tryptophan PET in pretreatment delineation of newly-diagnosed gliomas: MRI and histopathologic correlates. Journal of Neuro-Oncology. 112(1). 121–132. 29 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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