William D. Rawlinson

553 total citations
9 papers, 203 citations indexed

About

William D. Rawlinson is a scholar working on Surgery, Epidemiology and Oncology. According to data from OpenAlex, William D. Rawlinson has authored 9 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Epidemiology and 3 papers in Oncology. Recurrent topics in William D. Rawlinson's work include Cytomegalovirus and herpesvirus research (4 papers), Diabetes and associated disorders (3 papers) and Herpesvirus Infections and Treatments (3 papers). William D. Rawlinson is often cited by papers focused on Cytomegalovirus and herpesvirus research (4 papers), Diabetes and associated disorders (3 papers) and Herpesvirus Infections and Treatments (3 papers). William D. Rawlinson collaborates with scholars based in Australia. William D. Rawlinson's co-authors include Maria E. Craig, Ki Wook Kim, Sonia R. Isaacs, Jennifer Couper, Megan A. S. Penno, Emma E. Hamilton‐Williams, Anandwardhan A. Hardikar, Thomas W. H. Kay, Andy Hau Yan Ho and Yi Luo and has published in prestigious journals such as Diabetes, Diabetologia and Cornea.

In The Last Decade

William D. Rawlinson

9 papers receiving 196 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William D. Rawlinson Australia 8 84 66 61 56 36 9 203
Liana Ghazarian France 9 84 1.0× 31 0.5× 34 0.6× 27 0.5× 32 0.9× 9 319
Tetsuro Akashi Japan 8 99 1.2× 33 0.5× 162 2.7× 69 1.2× 46 1.3× 23 309
Elizabeth‐Barbara Tatsi Greece 9 36 0.4× 29 0.4× 63 1.0× 26 0.5× 162 4.5× 32 267
James Christopher Reed United States 5 63 0.8× 14 0.2× 166 2.7× 39 0.7× 115 3.2× 7 276
Sabina Mir United States 10 127 1.5× 56 0.8× 78 1.3× 9 0.2× 46 1.3× 16 276
R K Russell United Kingdom 7 126 1.5× 96 1.5× 52 0.9× 9 0.2× 32 0.9× 19 222
Jana Sirotiaková Slovakia 6 86 1.0× 65 1.0× 24 0.4× 9 0.2× 26 0.7× 9 162
F. Kanoun Tunisia 9 18 0.2× 35 0.5× 50 0.8× 92 1.6× 26 0.7× 25 256
Marie-Quitterie Picat France 6 23 0.3× 69 1.0× 15 0.2× 80 1.4× 50 1.4× 11 232
Qimeng Gao United States 11 62 0.7× 70 1.1× 212 3.5× 10 0.2× 26 0.7× 46 363

Countries citing papers authored by William D. Rawlinson

Since Specialization
Citations

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

Fields of papers citing papers by William D. Rawlinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Rawlinson. 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 William D. Rawlinson. The network helps show where William D. Rawlinson may publish in the future.

Co-authorship network of co-authors of William D. Rawlinson

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

All Works

9 of 9 papers shown
1.
Mata, Nicole De La, Kate Wyburn, Brenda Rosales, et al.. (2022). Notifiable Infectious Diseases Among Organ Transplant Recipients: A Data-Linked Cohort Study, 2000–2015. Open Forum Infectious Diseases. 9(8). ofac337–ofac337. 6 indexed citations
3.
Lindsay, Julian, Michelle K. Yong, Matthew Greenwood, et al.. (2020). Epstein‐Barr virus related post‐transplant lymphoproliferative disorder prevention strategies in allogeneic hematopoietic stem cell transplantation. Reviews in Medical Virology. 30(4). e2108–e2108. 21 indexed citations
4.
Cabrera‐Aguas, Maria, Richard J. Symes, Peter McCluskey, et al.. (2020). Development, Implementation, and Evaluation of Treatment Guidelines for Herpes Simplex Keratitis in Sydney, Australia. Cornea. 39(7). 834–840. 11 indexed citations
5.
Craig, Maria E., Ki Wook Kim, Sonia R. Isaacs, et al.. (2019). Early-life factors contributing to type 1 diabetes. Diabetologia. 62(10). 1823–1834. 65 indexed citations
6.
Yong, Michelle K., David Gottlieb, Julian Lindsay, et al.. (2019). New advances in the management of cytomegalovirus in allogeneic haemopoietic stem cell transplantation. Internal Medicine Journal. 50(3). 277–284. 11 indexed citations
7.
Wong, Diana, Wendy J. van Zuylen, Maria E. Craig, & William D. Rawlinson. (2018). Systematic review of ganciclovir pharmacodynamics during the prevention of cytomegalovirus infection in adult solid organ transplant recipients. Reviews in Medical Virology. 29(2). e2023–e2023. 8 indexed citations
9.
Kim, Ki Wook, Andy Hau Yan Ho, Anandwardhan A. Hardikar, et al.. (2015). Coxsackievirus B5 Infection Induces Dysregulation of microRNAs Predicted to Target Known Type 1 Diabetes Risk Genes in Human Pancreatic Islets. Diabetes. 65(4). 996–1003. 41 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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