Kenneth S. Rankin

3.5k total citations
71 papers, 1.0k citations indexed

About

Kenneth S. Rankin is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Rheumatology. According to data from OpenAlex, Kenneth S. Rankin has authored 71 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pulmonary and Respiratory Medicine, 21 papers in Surgery and 19 papers in Rheumatology. Recurrent topics in Kenneth S. Rankin's work include Sarcoma Diagnosis and Treatment (29 papers), Total Knee Arthroplasty Outcomes (10 papers) and Bone Tumor Diagnosis and Treatments (10 papers). Kenneth S. Rankin is often cited by papers focused on Sarcoma Diagnosis and Treatment (29 papers), Total Knee Arthroplasty Outcomes (10 papers) and Bone Tumor Diagnosis and Treatments (10 papers). Kenneth S. Rankin collaborates with scholars based in United Kingdom, United States and Greece. Kenneth S. Rankin's co-authors include David A. Young, John Loughlin, Matt J. Barter, Craig Gerrand, Ramsay Refaie, Michael D. Rushton, Louise N. Reynard, Maniram Ragbir, Kanishka M. Ghosh and Daniel Frankel and has published in prestigious journals such as Cancer Research, Chemical Communications and Annals of Surgery.

In The Last Decade

Kenneth S. Rankin

66 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth S. Rankin United Kingdom 18 373 275 268 213 203 71 1.0k
Miklós Szendrői Hungary 23 413 1.1× 543 2.0× 348 1.3× 331 1.6× 330 1.6× 68 1.4k
Ming Zhao China 25 383 1.0× 440 1.6× 660 2.5× 361 1.7× 360 1.8× 151 1.7k
Massimiliano Fioroni Italy 25 630 1.7× 265 1.0× 436 1.6× 362 1.7× 288 1.4× 81 1.8k
Hiroyuki Futani Japan 16 280 0.8× 251 0.9× 197 0.7× 236 1.1× 148 0.7× 59 807
Timothy E. Cawston United Kingdom 19 410 1.1× 115 0.4× 341 1.3× 230 1.1× 291 1.4× 27 1.3k
David J. Kouba United States 21 142 0.4× 169 0.6× 326 1.2× 249 1.2× 126 0.6× 63 1.5k
Masaya Okura Japan 26 198 0.5× 203 0.7× 556 2.1× 509 2.4× 422 2.1× 87 1.6k
Hideji Nishida Japan 19 265 0.7× 472 1.7× 157 0.6× 434 2.0× 186 0.9× 45 993
Hiroko Machida Japan 28 246 0.7× 146 0.5× 319 1.2× 570 2.7× 402 2.0× 123 2.5k
Richard W. Nicholas United States 18 341 0.9× 507 1.8× 412 1.5× 519 2.4× 607 3.0× 47 1.7k

Countries citing papers authored by Kenneth S. Rankin

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth S. Rankin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth S. Rankin. 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 Kenneth S. Rankin. The network helps show where Kenneth S. Rankin may publish in the future.

Co-authorship network of co-authors of Kenneth S. Rankin

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth S. Rankin. A scholar is included among the top collaborators of Kenneth S. Rankin 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 Kenneth S. Rankin. Kenneth S. Rankin 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.
Rankin, Kenneth S., et al.. (2025). Catastrophic Type A Aortic Dissection Temporally Associated With Recreational Ketamine Use. Cureus. 17(11). e97346–e97346.
2.
Gerrand, Craig, Bernadette Brennan, Robin Young, et al.. (2024). A Prospective Observational Cohort Study for Newly Diagnosed Osteosarcoma Patients in the UK: ICONIC Study Initial Results. Cancers. 16(13). 2351–2351. 1 indexed citations
3.
Giuliani, Stefano, Irene Paraboschi, Angus McNair, et al.. (2024). Monoclonal Antibodies for Targeted Fluorescence-Guided Surgery: A Review of Applicability across Multiple Solid Tumors. Cancers. 16(5). 1045–1045. 9 indexed citations
4.
5.
Gamie, Zakareya, Anja Krippner‐Heidenreich, Craig Gerrand, & Kenneth S. Rankin. (2024). Targeting Death Receptor 5 (DR5) for the imaging and treatment of primary bone and soft tissue tumors: an update of the literature. Frontiers in Molecular Biosciences. 11. 1384795–1384795. 5 indexed citations
6.
Luli, Saimir, et al.. (2023). Synthesis and In Vitro Evaluation of a HER2-Specific ImmunoSCIFI Probe. ACS Omega. 8(50). 47905–47912.
7.
Chan, Corey D., et al.. (2022). Synthesis and In Vivo Evaluation of a Site-specifically Labeled Radioimmunoconjugate for Dual-Modal (PET/NIRF) Imaging of MT1-MMP in Sarcomas. Bioconjugate Chemistry. 33(8). 1564–1573. 13 indexed citations
8.
Wilkinson, D., Helen L. Wright, Hua Lin, et al.. (2021). Matrix metalloproteinase‐13 is fully activated by neutrophil elastase and inactivates its serpin inhibitor, alpha‐1 antitrypsin: Implications for osteoarthritis. FEBS Journal. 289(1). 121–139. 36 indexed citations
9.
Lyskjær, Iben, Christopher Davies, Steven James, et al.. (2021). Circulating tumour DNA is a promising biomarker for risk stratification of central chondrosarcoma with IDH1/2 and GNAS mutations. Molecular Oncology. 15(12). 3679–3690. 10 indexed citations
10.
Chan, Corey D., Timothy P. Crowley, Maniram Ragbir, et al.. (2021). Surgical Advances in Osteosarcoma. Cancers. 13(3). 388–388. 35 indexed citations
11.
Rankin, Kenneth S., et al.. (2021). Preliminary evaluation of the in vitro biocompatibility of magnetic bone cement composites. Open Ceramics. 7. 100146–100146. 1 indexed citations
12.
Frankel, Daniel, Bharat Bhushan, Justine Bertrand‐Michel, et al.. (2020). Cholesterol-rich naked mole-rat brain lipid membranes are susceptible to amyloid beta-induced damage in vitro. Aging. 12(21). 22266–22290. 16 indexed citations
13.
Chan, Corey D., Emma J. Haagensen, Zakareya Gamie, et al.. (2020). Co‑localisation of intra‑nuclear membrane type‑1 matrix metalloproteinase and hypoxia inducible factor‑2α in osteosarcoma and prostate carcinoma cells. Oncology Letters. 21(2). 158–158. 4 indexed citations
14.
Hadi, Fazal, Sampurna Chakrabarti, Walid T. Khaled, et al.. (2019). The material properties of naked mole-rat hyaluronan. Scientific Reports. 9(1). 6632–6632. 18 indexed citations
15.
Ghosh, Kanishka M., et al.. (2018). Indeterminate nodules in osteosarcoma: what’s the follow-up?. British Journal of Cancer. 118(5). 634–638. 18 indexed citations
16.
Gamie, Zakareya, Konstantinos Kapriniotis, Emma J. Haagensen, et al.. (2017). TNF-related apoptosis-inducing ligand (TRAIL) for bone sarcoma treatment: Pre-clinical and clinical data. Cancer Letters. 409. 66–80. 33 indexed citations
17.
18.
Rankin, Kenneth S., et al.. (2014). Consultant and trainee attitudes towards supervision of operative procedures in the UK and Ireland.. PubMed. 107(4). 112–4. 2 indexed citations
19.
Rushton, Michael D., Louise N. Reynard, Matt J. Barter, et al.. (2014). Characterisation of the cartilage DNA methylome in knee and hip osteoarthritis using high-density genome-wide analysis. Osteoarthritis and Cartilage. 22. S233–S233. 2 indexed citations
20.
Sprowson, Andrew P., et al.. (2009). Common peroneal and posterior tibial ischemic nerve damage, a rare cause. Foot and Ankle Surgery. 16(2). e16–e17. 3 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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