Robert Twigger

971 total citations
8 papers, 208 citations indexed

About

Robert Twigger is a scholar working on Dermatology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Robert Twigger has authored 8 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Dermatology, 4 papers in Epidemiology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Robert Twigger's work include Cutaneous lymphoproliferative disorders research (7 papers), Lymphoma Diagnosis and Treatment (3 papers) and T-cell and Retrovirus Studies (3 papers). Robert Twigger is often cited by papers focused on Cutaneous lymphoproliferative disorders research (7 papers), Lymphoma Diagnosis and Treatment (3 papers) and T-cell and Retrovirus Studies (3 papers). Robert Twigger collaborates with scholars based in Australia. Robert Twigger's co-authors include H. Miles Prince, Christopher McCormack, Stephen Lade, Gail Ryan, Michael Dickinson, David Westerman, Amit Khot, Constantine S. Tam, David Ritchie and Belinda A. Campbell and has published in prestigious journals such as Blood, Journal of the American Academy of Dermatology and European Journal of Cancer.

In The Last Decade

Robert Twigger

8 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert Twigger Australia	6	193	125	100	79	50	8	208
Robert Stuver United States	6	45 0.2×	71 0.6×	9 0.1×	47 0.6×	44 0.9×	28	99
Meredith Little United States	4	43 0.2×	43 0.3×	19 0.2×	24 0.3×	18 0.4×	8	67
Mathieu Jouvray France	3	19 0.1×	65 0.5×	22 0.2×	26 0.3×	17 0.3×	4	93
Rojo Ratsimandresy France	4	22 0.1×	53 0.4×	14 0.1×	44 0.6×	10 0.2×	5	107
René González Mendoza Australia	4	56 0.3×	5 0.0×	116 1.2×	19 0.2×	105 2.1×	5	147
Kathryn Konicke United States	6	33 0.2×	11 0.1×	20 0.2×	8 0.1×	10 0.2×	8	88
Kosalai Kal Mohan United States	7	27 0.1×	3 0.0×	61 0.6×	29 0.4×	106 2.1×	20	121
M T Camps Netherlands	2	12 0.1×	50 0.4×	15 0.1×	22 0.3×	3 0.1×	3	67
Arthur Ott Austria	5	18 0.1×	6 0.0×	12 0.1×	9 0.1×	43 0.9×	8	78
Anne Roggy France	3	14 0.1×	11 0.1×	6 0.1×	20 0.3×	22 0.4×	4	91

Countries citing papers authored by Robert Twigger

Since Specialization

Citations

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

Fields of papers citing papers by Robert Twigger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Twigger

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

All Works

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8 of 8 papers shown

Hammett, Maree V., Aleta Pupovac, Runzhe Shu, et al.. (2024). Targeting TAG-72 in cutaneous T cell lymphoma. Heliyon. 10(17). e36298–e36298. 1 indexed citations

Remák, Edit, et al.. (2021). Understanding relative survival outcomes for patients with cutaneous T-cell lymphoma (CTCL) subtypes mycosis fungoides and Sézary syndrome treated with mogamulizumab or vorinostat: combining Australian real-world evidence and MAVORIC phase 3 trial data. European Journal of Cancer. 156. S18–S18. 5 indexed citations

McCormack, Christopher, Carrie van der Weyden, Robert Twigger, et al.. (2020). The importance of differentiating between mycosis fungoides with CD30-positive large cell transformation and mycosis fungoides with coexistent primary cutaneous anaplastic large cell lymphoma. Journal of the American Academy of Dermatology. 84(1). 185–187. 8 indexed citations

McCormack, Christopher, Carrie van der Weyden, Robert Twigger, et al.. (2019). A comparative analysis of histone deacetylase inhibitors for the treatment of mycosis fungoides and Sézary syndrome. British Journal of Dermatology. 182(2). 497–498. 5 indexed citations

McCormack, Christopher, Carrie van der Weyden, Michelle Goh, et al.. (2019). Prolonged survival with the early use of a novel extracorporeal photopheresis regimen in patients with Sézary syndrome. Blood. 134(16). 1346–1350. 28 indexed citations

Campbell, Belinda A., Gail Ryan, Christopher McCormack, et al.. (2019). Lack of Durable Remission with Conventional-Dose Total Skin Electron Therapy for the Management of Sezary Syndrome and Multiply Relapsed Mycosis Fungoides. Cancers. 11(11). 1758–1758. 7 indexed citations

Khot, Amit, Christopher McCormack, Stephen Lade, et al.. (2014). Lack of durable disease control with chemotherapy for mycosis fungoides and Sézary syndrome: a comparative study of systemic therapy. Blood. 125(1). 71–81. 153 indexed citations

Twigger, Robert, et al.. (1999). Unemployment by Constituency July 1999. OpenGrey (Institut de l'Information Scientifique et Technique). 1 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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