John Graf

2.6k total citations
36 papers, 1.1k citations indexed

About

John Graf is a scholar working on Biomedical Engineering, Molecular Biology and Polymers and Plastics. According to data from OpenAlex, John Graf has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Molecular Biology and 7 papers in Polymers and Plastics. Recurrent topics in John Graf's work include Ultrasound and Hyperthermia Applications (6 papers), Polymer crystallization and properties (6 papers) and Vagus Nerve Stimulation Research (5 papers). John Graf is often cited by papers focused on Ultrasound and Hyperthermia Applications (6 papers), Polymer crystallization and properties (6 papers) and Vagus Nerve Stimulation Research (5 papers). John Graf collaborates with scholars based in United States, United Kingdom and Ireland. John Graf's co-authors include Michael M. Coleman, Paul C. Painter, Yun‐Xiang Xu, Maria I. Zavodszky, Xiaoming Yang, Dorab E. Bhagwagar, Chris Puleo, Victoria Cotero, Suresh L. Shenoy and Sanat K. Kumar and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

John Graf

34 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Graf United States 20 391 219 193 181 145 36 1.1k
Peifang Liu China 32 235 0.6× 504 2.3× 274 1.4× 101 0.6× 368 2.5× 96 2.7k
Gengxin Liu China 20 246 0.6× 307 1.4× 132 0.7× 414 2.3× 207 1.4× 74 1.3k
A.H. Alexopoulos Greece 18 118 0.3× 128 0.6× 241 1.2× 230 1.3× 179 1.2× 36 1.1k
Kexin Wang China 21 373 1.0× 486 2.2× 293 1.5× 36 0.2× 285 2.0× 145 2.1k
Xueen Jia China 18 160 0.4× 475 2.2× 239 1.2× 84 0.5× 344 2.4× 33 1.7k
Xiangling Li China 26 219 0.6× 418 1.9× 669 3.5× 103 0.6× 320 2.2× 83 2.1k
Kentaro Kobayashi Japan 17 82 0.2× 145 0.7× 146 0.8× 139 0.8× 201 1.4× 79 886
Deshan Liu China 18 133 0.3× 135 0.6× 91 0.5× 257 1.4× 320 2.2× 85 1.0k
Masato Hashimoto Japan 25 111 0.3× 595 2.7× 122 0.6× 289 1.6× 295 2.0× 161 2.1k

Countries citing papers authored by John Graf

Since Specialization
Citations

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

Fields of papers citing papers by John Graf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Graf

This figure shows the co-authorship network connecting the top 25 collaborators of John Graf. A scholar is included among the top collaborators of John Graf 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 John Graf. John Graf 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.
Cho, Sanghee, Elizabeth McDonough, John Graf, et al.. (2024). Integrated multiplex analysis of cell death regulators in stage II colorectal cancer suggests patients with ‘persister’ cell profiles fail to benefit from adjuvant chemotherapy. SHILAP Revista de lepidopterología. 3(1). e000362–e000362.
2.
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Zanos, Stavros, Despοina Ntiloudi, John S. Pellerito, et al.. (2023). Focused ultrasound neuromodulation of the spleen activates an anti-inflammatory response in humans. Brain stimulation. 16(3). 703–711. 14 indexed citations
4.
Ahmed, Umair, John Graf, Ibrahim T. Mughrabi, et al.. (2022). Ultrasound Neuromodulation of the Spleen Has Time-Dependent Anti-Inflammatory Effect in a Pneumonia Model. Frontiers in Immunology. 13. 892086–892086. 14 indexed citations
5.
Loughrey, Maurice B., Manuela Salvucci, Andreas U. Lindner, et al.. (2021). Stratification of chemotherapy-treated stage III colorectal cancer patients using multiplexed imaging and single-cell analysis of T-cell populations. Modern Pathology. 35(4). 564–576. 17 indexed citations
6.
Cotero, Victoria, Tzu‐Jen Kao, John Graf, et al.. (2020). Evidence of Long-range nerve pathways connecting and coordinating activity in secondary lymph organs. SHILAP Revista de lepidopterología. 6(1). 21–21. 8 indexed citations
7.
Cotero, Victoria, Hiromi Miwa, John Graf, et al.. (2020). Peripheral Focused Ultrasound Neuromodulation (pFUS). Journal of Neuroscience Methods. 341. 108721–108721. 23 indexed citations
8.
Cotero, Victoria, Ying Fan, Téa Tsaava, et al.. (2019). Noninvasive sub-organ ultrasound stimulation for targeted neuromodulation. Nature Communications. 10(1). 952–952. 133 indexed citations
9.
Graf, John & Maria I. Zavodszky. (2017). Characterizing the heterogeneity of tumor tissues from spatially resolved molecular measures. PLoS ONE. 12(11). e0188878–e0188878. 22 indexed citations
10.
Rhead, Brooke, Calliope Holingue, Michael B. Cole, et al.. (2016). Rheumatoid Arthritis Naive T Cells Share Hypermethylation Sites With Synoviocytes. Arthritis & Rheumatology. 69(3). 550–559. 41 indexed citations
11.
Westwood, Sarah, Emanuela Leoni, Abdul Hye, et al.. (2016). Blood-Based Biomarker Candidates of Cerebral Amyloid Using PiB PET in Non-Demented Elderly. Journal of Alzheimer s Disease. 52(2). 561–572. 29 indexed citations
12.
Ashton, Nicholas J., Steven J. Kiddle, John Graf, et al.. (2015). Blood protein predictors of brain amyloid for enrichment in clinical trials?. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 1(1). 48–60. 38 indexed citations
13.
Chaudhury, Sidhartha, Mohamed Diwan M. AbdulHameed, Narender Singh, et al.. (2013). Rapid Countermeasure Discovery against Francisella tularensis Based on a Metabolic Network Reconstruction. PLoS ONE. 8(5). e63369–e63369. 13 indexed citations
14.
Rooney, Terence, Rebecca Scherzer, Judy K. Shigenaga, et al.. (2011). Levels of plasma fibrinogen are elevated in well-controlled rheumatoid arthritis. Lara D. Veeken. 50(8). 1458–1465. 36 indexed citations
15.
Graf, John, Bernhard Scholz, & Maria I. Zavodszky. (2011). BioDMET: a physiologically based pharmacokinetic simulation tool for assessing proposed solutions to complex biological problems. Journal of Pharmacokinetics and Pharmacodynamics. 39(1). 37–54. 22 indexed citations
16.
Zhang, Hongxi, Dorab E. Bhagwagar, John Graf, Paul C. Painter, & Michael M. Coleman. (1994). The effect of hydrogen bonding on the phase behaviour of ternary polymer blends. Polymer. 35(25). 5379–5397. 56 indexed citations
17.
Painter, Paul C., et al.. (1991). Formation of molecular composites through hydrogen-bonding interactions. Macromolecules. 24(13). 3929–3936. 48 indexed citations
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19.
Graf, John, Michael M. Coleman, & Paul C. Painter. (1991). An equation of state theory for hydrogen-bonding polymer mixtures. The Journal of Physical Chemistry. 95(17). 6710–6723. 19 indexed citations
20.
Painter, Paul C., John Graf, & Michael M. Coleman. (1991). Effect of hydrogen bonding on the enthalpy of mixing and the composition dependence of the glass transition temperature in polymer blends. Macromolecules. 24(20). 5630–5638. 136 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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