Caroline H. Johnson

9.8k total citations · 1 hit paper
107 papers, 6.8k citations indexed

About

Caroline H. Johnson is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Caroline H. Johnson has authored 107 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 22 papers in Cancer Research and 19 papers in Oncology. Recurrent topics in Caroline H. Johnson's work include Metabolomics and Mass Spectrometry Studies (38 papers), Analytical Chemistry and Chromatography (11 papers) and Cancer, Hypoxia, and Metabolism (11 papers). Caroline H. Johnson is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (38 papers), Analytical Chemistry and Chromatography (11 papers) and Cancer, Hypoxia, and Metabolism (11 papers). Caroline H. Johnson collaborates with scholars based in United States, United Kingdom and China. Caroline H. Johnson's co-authors include Gary Siuzdak, Julijana Ivanišević, Frank J. Gonzalez, Gary J. Patti, H. Paul Benton, Zheng‐Jiang Zhu, Jeffrey R. Idle, Andrew D. Patterson, Junhua Wang and Kristopher W. Krausz and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Caroline H. Johnson

100 papers receiving 6.7k citations

Hit Papers

Metabolomics: beyond biomarkers and towards mechanisms 2016 2026 2019 2022 2016 500 1000 1.5k

Peers

Caroline H. Johnson
Hector C. Keun United Kingdom
Xiang Zhang United States
Caroline H. Johnson
Citations per year, relative to Caroline H. Johnson Caroline H. Johnson (= 1×) peers Julijana Ivanišević

Countries citing papers authored by Caroline H. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Caroline H. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline H. Johnson. 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 Caroline H. Johnson. The network helps show where Caroline H. Johnson may publish in the future.

Co-authorship network of co-authors of Caroline H. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline H. Johnson. A scholar is included among the top collaborators of Caroline H. Johnson 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 Caroline H. Johnson. Caroline H. Johnson 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
2.
Guo, Pengfei, Caroline H. Johnson, Hong Yan, et al.. (2025). Acetaminophen Use in Pregnancy: A Comparison of Self-Reported Intake with Maternal and Newborn Biomarker Measures. Clinical Epidemiology. Volume 17. 1–6.
3.
Lu, Lingeng, Qian Zhang, Xinyi Shen, et al.. (2024). Asparagine synthetase and G‐protein coupled estrogen receptor are critical responders to nutrient supply in KRAS mutant colorectal cancer. International Journal of Cancer. 156(1). 52–68. 5 indexed citations
4.
Jain, Abhishek, Montana T. Morris, Xavier Domingo-Almenara, et al.. (2024). Charting the metabolic biogeography of the colorectum in cancer: challenging the right sided versus left sided classification. Molecular Cancer. 23(1). 211–211. 10 indexed citations
5.
Morris, Montana T., Abhishek Jain, Boshi Sun, et al.. (2023). Multi-omic analysis reveals metabolic pathways that characterize right-sided colon cancer liver metastasis. Cancer Letters. 574. 216384–216384. 13 indexed citations
6.
Saxena, Anjana, et al.. (2023). Prenatal Choline Supplement in a Maternal Obesity Model Modulates Offspring Hepatic Lipidomes. Nutrients. 15(4). 965–965. 9 indexed citations
7.
Vollmar, Ana K. Rosen, Elizabeth Z. Lin, Sara L. Nason, et al.. (2023). Per- and polyfluoroalkyl substances (PFAS) and thyroid hormone measurements in dried blood spots and neonatal characteristics: a pilot study. Journal of Exposure Science & Environmental Epidemiology. 33(5). 737–747. 12 indexed citations
8.
Johnson, Caroline H., et al.. (2022). Development of an Accessible Gene Expression Bioinformatics Pipeline to Study Driver Mutations of Colorectal Cancer. Alternatives to Laboratory Animals. 50(4). 282–292. 5 indexed citations
9.
Shen, Xiaotao, Yan Hong, Chuchu Wang, et al.. (2022). TidyMass an object-oriented reproducible analysis framework for LC–MS data. Nature Communications. 13(1). 4365–4365. 40 indexed citations
10.
Charkoftaki, Georgia, Jaya Prakash Golla, Álvaro J. Santos‐Neto, et al.. (2021). Identification of Dose-Dependent DNA Damage and Repair Responses From Subchronic Exposure to 1,4-Dioxane in Mice Using a Systems Analysis Approach. Toxicological Sciences. 183(2). 338–351. 12 indexed citations
11.
Rattray, Zahra, Gang Deng, Shenqi Zhang, et al.. (2021). ENT2 facilitates brain endothelial cell penetration and blood-brain barrier transport by a tumor-targeting anti-DNA autoantibody. JCI Insight. 6(14). 10 indexed citations
12.
Zhu, Gongjian, et al.. (2021). Intratumour microbiome associated with the infiltration of cytotoxic CD8+ T cells and patient survival in cutaneous melanoma. European Journal of Cancer. 151. 25–34. 109 indexed citations
13.
Cai, Yuping, Nicholas J. W. Rattray, Qian Zhang, et al.. (2020). Tumor Tissue-Specific Biomarkers of Colorectal Cancer by Anatomic Location and Stage. Metabolites. 10(6). 257–257. 16 indexed citations
14.
Inayat‐Hussain, Salmaan H., Nicole C. Deziel, Caroline H. Johnson, et al.. (2018). Evaluation of potential carcinogenicity of organic chemicals in synthetic turf crumb rubber. Environmental Research. 169. 163–172. 61 indexed citations
15.
Rattray, Nicholas J. W., Nicole C. Deziel, Joshua D. Wallach, et al.. (2018). Beyond genomics: understanding exposotypes through metabolomics. Human Genomics. 12(1). 4–4. 77 indexed citations
16.
Warth, Benedikt, Philipp Raffeiner, Ana Laura Ortega Granados, et al.. (2018). Metabolomics Reveals that Dietary Xenoestrogens Alter Cellular Metabolism Induced by Palbociclib/Letrozole Combination Cancer Therapy. Cell chemical biology. 25(3). 291–300.e3. 51 indexed citations
17.
Charkoftaki, Georgia, Nicholas J. W. Rattray, Per E. Andrén, et al.. (2018). Yale School of Public Health Symposium on tissue imaging mass spectrometry: illuminating phenotypic heterogeneity and drug disposition at the molecular level. Human Genomics. 12(1). 10–10. 3 indexed citations
18.
Yu, Tao, Yongtao Wang, Huizhen Zhang, et al.. (2016). Metabolomics reveals mycoplasma contamination interferes with the metabolism of PANC-1 cells. Analytical and Bioanalytical Chemistry. 408(16). 4267–4273. 15 indexed citations
19.
Johnson, Caroline H., Christine M. Dejea, David Edler, et al.. (2015). Metabolism Links Bacterial Biofilms and Colon Carcinogenesis. Cell Metabolism. 21(6). 891–897. 280 indexed citations
20.
Johnson, Caroline H., Ondřej Slanař, Kristopher W. Krausz, et al.. (2012). Novel metabolites and roles for α-tocopherol in humans and mice discovered by mass spectrometry–based metabolomics. American Journal of Clinical Nutrition. 96(4). 818–830. 44 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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