Adam Platt

10.2k total citations
53 papers, 2.4k citations indexed

About

Adam Platt is a scholar working on Rheumatology, Molecular Biology and Immunology. According to data from OpenAlex, Adam Platt has authored 53 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Rheumatology, 15 papers in Molecular Biology and 9 papers in Immunology. Recurrent topics in Adam Platt's work include Rheumatoid Arthritis Research and Therapies (14 papers), Systemic Lupus Erythematosus Research (7 papers) and Fungal and yeast genetics research (6 papers). Adam Platt is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (14 papers), Systemic Lupus Erythematosus Research (7 papers) and Fungal and yeast genetics research (6 papers). Adam Platt collaborates with scholars based in United Kingdom, United States and Sweden. Adam Platt's co-authors include Richard J. Reece, Sarah A. Dugger, David B. Goldstein, Anne‐Christine Bay‐Jensen, M.A. Karsdal, Mark X. Caddick, Alfred L. George, I. Byrjalsen, Mirna Jarosz and Jayson Bowers and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Adam Platt

51 papers receiving 2.3k citations

Peers

Adam Platt
Rebecca Hands United Kingdom
Matthew J. Brauer United States
Yuxuan Zheng China
Scott A. Jelinsky United States
Ann‐Christine Syvänen Sweden
Claire Adams Ireland
Wenli Liu China
Chin C. Howe United States
Will M. Lee Hong Kong
Rebecca Hands United Kingdom
Adam Platt
Citations per year, relative to Adam Platt Adam Platt (= 1×) peers Rebecca Hands

Countries citing papers authored by Adam Platt

Since Specialization
Citations

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

Fields of papers citing papers by Adam Platt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Platt

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Platt. A scholar is included among the top collaborators of Adam Platt 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 Adam Platt. Adam Platt 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.
Zhou, Xiaohong, Nicola Ferrari, Zhi Liu, et al.. (2025). A phase 1 study evaluating the safety, tolerability, and pharmacokinetics of the porcupine inhibitor, AZD5055. iScience. 28(6). 112602–112602.
2.
Thillai, Muhunthan, Justin M. Oldham, Alessandro Ruggiero, et al.. (2024). Deep Learning–based Segmentation of Computed Tomography Scans Predicts Disease Progression and Mortality in Idiopathic Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 210(4). 465–472. 18 indexed citations
3.
Baker, Tina, Paul J. Newcombe, Patrick G. Gavin, et al.. (2024). Type I interferon blockade with anifrolumab in patients with systemic lupus erythematosus modulates key immunopathological pathways in a gene expression and proteomic analysis of two phase 3 trials. Annals of the Rheumatic Diseases. 83(8). 1018–1027. 32 indexed citations
4.
Jayne, David, Patrick J. Gavin, Erik L. Allman, et al.. (2023). OP0136 METABOLOMIC SERUM PROFILING IDENTIFIES METABOLITES LINKED TO KIDNEY DAMAGE WHICH ARE MODULATED BY ANIFROLUMAB IN A PHASE 2 TRIAL IN LUPUS NEPHRITIS. Annals of the Rheumatic Diseases. 82. 90–90. 2 indexed citations
5.
Platt, Adam, et al.. (2023). MiCellAnnGELo: annotate microscopy time series of complex cell surfaces with 3D virtual reality. Bioinformatics. 39(1). 2 indexed citations
6.
Maroteau, Cyrielle, Esther Herrera‐Luis, Sundararajan Srinivasan, et al.. (2021). LTA4H rs2660845 association with montelukast response in early and late-onset asthma. PLoS ONE. 16(9). e0257396–e0257396. 6 indexed citations
7.
Rutten, Bart P. F., Simon Young, Magdalena Rhedin, et al.. (2021). Eosinophil-derived neurotoxin: A biologically and analytically attractive asthma biomarker. PLoS ONE. 16(2). e0246627–e0246627. 27 indexed citations
8.
Rutten, Bart P. F., Simon Young, Mark Fidock, et al.. (2021). The commutability of enzyme linked immunosorbent assays for the quantification of serum eosinophil-derived neurotoxin (EDN). Journal of Immunological Methods. 500. 113181–113181. 2 indexed citations
9.
Bay‐Jensen, Anne‐Christine, I. Byrjalsen, Anne Sofie Siebuhr, et al.. (2014). Serological Biomarkers of Joint Tissue Turnover Predict Tocilizumab Response at Baseline. JCR Journal of Clinical Rheumatology. 20(6). 332–335. 18 indexed citations
10.
Wang, Jianmei, Adam Platt, Ruchi Upmanyu, et al.. (2013). IL-6 pathway-driven investigation of response to IL-6 receptor inhibition in rheumatoid arthritis. BMJ Open. 3(8). e003199–e003199. 50 indexed citations
11.
Bansal, Aruna T., Søren Germer, Ryma Benayed, et al.. (2012). Genome-wide association analysis implicates the involvement of eight loci with response to tocilizumab for the treatment of rheumatoid arthritis. The Pharmacogenomics Journal. 13(3). 235–241. 39 indexed citations
12.
13.
Karsdal, M.A., Thasia Woodworth, Kim Henriksen, et al.. (2011). Biochemical markers of ongoing joint damage in rheumatoid arthritis - current and future applications, limitations and opportunities. Arthritis Research & Therapy. 13(2). 215–215. 90 indexed citations
14.
Lee, Janet, Jianmei Wang, Mitchell Martin, et al.. (2011). Genetic variation in UGT1A1 typical of Gilbert syndrome is associated with unconjugated hyperbilirubinemia in patients receiving tocilizumab. Pharmacogenetics and Genomics. 21(7). 365–374. 18 indexed citations
15.
Chaudhury, Hera, Mustafa Zakkar, Joseph Boyle, et al.. (2010). c-Jun N-Terminal Kinase Primes Endothelial Cells at Atheroprone Sites for Apoptosis. Arteriosclerosis Thrombosis and Vascular Biology. 30(3). 546–553. 57 indexed citations
16.
Ozsolak, Fatih, Adam Platt, Daniel Jones, et al.. (2009). Direct RNA sequencing. Nature. 461(7265). 814–818. 302 indexed citations
17.
Bowers, Jayson, J. William Efcavitch, Mirna Jarosz, et al.. (2009). Virtual terminator nucleotides for next-generation DNA sequencing. Nature Methods. 6(8). 593–595. 77 indexed citations
18.
19.
Xia, Ling, Lijuan Wang, Alicia S. Chung, et al.. (2002). Identification of Both Positive and Negative Domains within the Epidermal Growth Factor Receptor COOH-terminal Region for Signal Transducer and Activator of Transcription (STAT) Activation. Journal of Biological Chemistry. 277(34). 30716–30723. 97 indexed citations
20.
Platt, Adam, et al.. (1996). Mutational analysis of the C-terminal region of AREA, the transcription factor mediating nitrogen metabolite repression inAspergillus nidulans. Molecular and General Genetics MGG. 250(1). 106–114. 30 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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