Carl Campos

7.5k total citations · 2 hit papers
16 papers, 3.2k citations indexed

About

Carl Campos is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Carl Campos has authored 16 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Carl Campos's work include Glioma Diagnosis and Treatment (6 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Carl Campos is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Carl Campos collaborates with scholars based in United States, Spain and Switzerland. Carl Campos's co-authors include Ingo K. Mellinghoff, Daniel Rohle, Craig B. Thompson, Adriana Heguy, Jason T. Huse, Olga A. Guryanova, Emrullah Yilmaz, Timothy A. Chan, Armida W. M. Fabius and Andrew Kaufman and has published in prestigious journals such as Nature, Nature Medicine and Nature Communications.

In The Last Decade

Carl Campos

16 papers receiving 3.1k citations

Hit Papers

IDH1 mutation is sufficient to establish the glioma hyper... 2012 2026 2016 2021 2012 2012 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carl Campos United States 13 1.7k 1.1k 1.0k 693 348 16 3.2k
Kenneth L. Pitter United States 24 2.3k 1.4× 683 0.6× 576 0.6× 1.1k 1.5× 314 0.9× 48 4.2k
Alexander H. Stegh United States 29 3.3k 2.0× 1.4k 1.2× 1.1k 1.1× 439 0.6× 168 0.5× 42 5.0k
Jay F. Dorsey United States 31 1.1k 0.7× 485 0.4× 638 0.6× 690 1.0× 296 0.9× 80 3.1k
Walid S. Kamoun United States 27 2.0k 1.2× 812 0.7× 403 0.4× 1.1k 1.6× 404 1.2× 53 4.8k
Dawen Zhao United States 33 1.3k 0.8× 872 0.8× 643 0.6× 610 0.9× 923 2.7× 73 3.5k
John M. Heddleston United States 27 1.8k 1.1× 1.2k 1.1× 935 0.9× 570 0.8× 95 0.3× 43 4.2k
Do‐Hyun Nam South Korea 44 1.6k 0.9× 842 0.8× 2.1k 2.1× 560 0.8× 765 2.2× 239 6.7k
Bachchu Lal United States 36 1.6k 1.0× 699 0.6× 727 0.7× 218 0.3× 1.3k 3.6× 69 4.0k
Stanley S. Stylli Australia 34 1.3k 0.8× 710 0.6× 550 0.5× 719 1.0× 265 0.8× 91 3.2k
Rodney B. Luwor Australia 32 2.0k 1.2× 867 0.8× 556 0.5× 256 0.4× 348 1.0× 95 3.7k

Countries citing papers authored by Carl Campos

Since Specialization
Citations

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

Fields of papers citing papers by Carl Campos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Campos

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

All Works

16 of 16 papers shown
1.
Pourmaleki, Maryam, Priyadarshini Kumar, Miguel Foronda, et al.. (2024). Multiplexed Spatial Profiling of Hodgkin Reed–Sternberg Cell Neighborhoods in Classic Hodgkin Lymphoma. Clinical Cancer Research. 30(17). 3881–3893. 7 indexed citations
2.
Nandakumar, Subhiksha, Timothy Song, Carl Campos, et al.. (2024). Utility of circulating tumor DNA (ctDNA) from cerebrospinal fluid (CSF) for prognosis of patients with recurrent high grade glioma.. Journal of Clinical Oncology. 42(16_suppl). 2010–2010. 1 indexed citations
3.
Henry, Kelly E., Maya Srikanth Graham, Carl Campos, et al.. (2021). Imaging Tumor-Infiltrating Lymphocytes in Brain Tumors with [64Cu]Cu-NOTA-anti-CD8 PET. Clinical Cancer Research. 27(7). 1958–1966. 31 indexed citations
4.
Clark, Owen, Carl Campos, Alshad S. Lalani, et al.. (2021). GCN2 kinase activation by ATP-competitive kinase inhibitors. Nature Chemical Biology. 18(2). 207–215. 28 indexed citations
5.
Campos, Carl, et al.. (2018). Intracranial Foreign Body Reaction to Embolic Material Mimicking High-Grade Glioma. Neurographics. 8(6). 451–454. 1 indexed citations
6.
Yen, Katharine, Zenon Konteatis, Zhihua Sui, et al.. (2018). Abstract B126: AG-881, a brain penetrant, potent, pan-mutant IDH (mIDH) inhibitor for use in mIDH solid and hematologic malignancies. Molecular Cancer Therapeutics. 17(1_Supplement). B126–B126. 16 indexed citations
7.
Oldrini, Barbara, Wan-Ying Hsieh, Hediye Erdjument‐Bromage, et al.. (2017). EGFR feedback-inhibition by Ran-binding protein 6 is disrupted in cancer. Nature Communications. 8(1). 2035–2035. 24 indexed citations
8.
Sood, Anup, Alexandra Miller, Edi Brogi, et al.. (2016). Multiplexed immunofluorescence delineates proteomic cancer cell states associated with metabolism. JCI Insight. 1(6). 35 indexed citations
9.
Venneti, Sriram, Mark Dunphy, Hanwen Zhang, et al.. (2015). Glutamine-based PET imaging facilitates enhanced metabolic evaluation of gliomas in vivo. Science Translational Medicine. 7(274). 274ra17–274ra17. 244 indexed citations
10.
Vivanco, Igor, B Tanos, Barbara Oldrini, et al.. (2014). A kinase-independent function of AKT promotes cancer cell survival. eLife. 3. 70 indexed citations
11.
Masui, Kenta, Kazuhiro Tanaka, David Akhavan, et al.. (2013). mTOR Complex 2 Controls Glycolytic Metabolism in Glioblastoma through FoxO Acetylation and Upregulation of c-Myc. Cell Metabolism. 18(5). 726–739. 341 indexed citations
12.
Zerda, Adam de la, Moritz F. Kircher, Jesse V. Jokerst, et al.. (2013). A brain tumor molecular imaging strategy using a new triple-modality MRI-photoacoustic-Raman nanoparticle. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8581. 85810G–85810G. 14 indexed citations
13.
Gorovets, Daniel, Kasthuri Kannan, Ronglai Shen, et al.. (2012). IDH Mutation and Neuroglial Developmental Features Define Clinically Distinct Subclasses of Lower Grade Diffuse Astrocytic Glioma. Clinical Cancer Research. 18(9). 2490–2501. 114 indexed citations
14.
Turcan, Şevin, Daniel Rohle, Anuj Goenka, et al.. (2012). IDH1 mutation is sufficient to establish the glioma hypermethylator phenotype. Nature. 483(7390). 479–483. 1382 indexed citations breakdown →
15.
Evans, Michael J., Jason P. Holland, Samuel L. Rice, et al.. (2012). Imaging Tumor Burden in the Brain with 89Zr-Transferrin. Journal of Nuclear Medicine. 54(1). 90–95. 30 indexed citations
16.
Kircher, Moritz F., Adam de la Zerda, Jesse V. Jokerst, et al.. (2012). A brain tumor molecular imaging strategy using a new triple-modality MRI-photoacoustic-Raman nanoparticle. Nature Medicine. 18(5). 829–834. 843 indexed citations breakdown →

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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