Peter Robbins

2.9k total citations
84 papers, 2.2k citations indexed

About

Peter Robbins is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Peter Robbins has authored 84 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 20 papers in Molecular Biology and 16 papers in Pathology and Forensic Medicine. Recurrent topics in Peter Robbins's work include Sarcoma Diagnosis and Treatment (11 papers), Glioma Diagnosis and Treatment (10 papers) and HER2/EGFR in Cancer Research (9 papers). Peter Robbins is often cited by papers focused on Sarcoma Diagnosis and Treatment (11 papers), Glioma Diagnosis and Treatment (10 papers) and HER2/EGFR in Cancer Research (9 papers). Peter Robbins collaborates with scholars based in Australia, United States and Canada. Peter Robbins's co-authors include Barry Iacopetta, Richie Soong, Anthony K. House, David D. Sampson, Christobel Saunders, Robert A. McLaughlin, Loretta Scolaro, D. S. Musgrave, P. Bosch and Brett R. Dix and has published in prestigious journals such as Cancer Research, Journal of Bone and Joint Surgery and Journal of Virology.

In The Last Decade

Peter Robbins

80 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Robbins Australia 27 678 445 382 375 355 84 2.2k
Anna Benetti Italy 20 792 1.2× 811 1.8× 493 1.3× 263 0.7× 189 0.5× 32 2.4k
Konnie M. Hebeda Netherlands 27 883 1.3× 524 1.2× 175 0.5× 157 0.4× 268 0.8× 93 2.5k
Federica Pieri Italy 20 742 1.1× 491 1.1× 177 0.5× 87 0.2× 399 1.1× 46 1.8k
Kanako C. Hatanaka Japan 24 613 0.9× 564 1.3× 486 1.3× 94 0.3× 409 1.2× 143 2.0k
Yukio Takeshima Japan 34 773 1.1× 941 2.1× 494 1.3× 100 0.3× 1.4k 4.1× 168 3.4k
Livia Lumbroso‐Le Rouic France 28 846 1.2× 461 1.0× 308 0.8× 83 0.2× 417 1.2× 119 2.5k
Stefan Wöhrer Austria 26 676 1.0× 695 1.6× 293 0.8× 241 0.6× 425 1.2× 45 2.5k
Dion Paridaens Netherlands 35 1.1k 1.7× 909 2.0× 431 1.1× 85 0.2× 266 0.7× 174 3.8k
Lewis C. Strauss United States 27 1.2k 1.7× 955 2.1× 208 0.5× 91 0.2× 540 1.5× 64 3.8k
Jennifer Brainard United States 27 537 0.8× 458 1.0× 847 2.2× 83 0.2× 631 1.8× 93 2.3k

Countries citing papers authored by Peter Robbins

Since Specialization
Citations

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

Fields of papers citing papers by Peter Robbins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Robbins

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Robbins. A scholar is included among the top collaborators of Peter Robbins 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 Peter Robbins. Peter Robbins 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.
2.
Wong, Daniel, Irene Low, Peter Robbins, et al.. (2016). MDM2/CDK4 gene amplification in large/deep-seated ‘lipomas’: incidence, predictors and clinical significance. Pathology. 48(3). 203–209. 13 indexed citations
3.
McLaughlin, Robert A., et al.. (2010). Imaging of Human Lymph Nodes Using Optical Coherence Tomography: Potential for Staging Cancer. Cancer Research. 70(7). 2579–2584. 66 indexed citations
4.
McLaughlin, Robert A., Loretta Scolaro, Peter Robbins, et al.. (2010). Parametric imaging of cancer with optical coherence tomography. Journal of Biomedical Optics. 15(4). 46029–46029. 50 indexed citations
5.
McLaughlin, Robert A., Loretta Scolaro, Peter Robbins, et al.. (2009). Mapping Tissue Optical Attenuation to Identify Cancer Using Optical Coherence Tomography. Lecture notes in computer science. 12(Pt 2). 657–664. 14 indexed citations
6.
Rodríguez, Fausto J., Bernd W. Scheithauer, Peter Robbins, et al.. (2006). Ependymomas with neuronal differentiation: a morphologic and immunohistochemical spectrum. Acta Neuropathologica. 113(3). 313–324. 51 indexed citations
7.
Holthouse, David, et al.. (2001). Corticotroph Pituitary Carcinoma: Case Report and Literature Review. Endocrine Pathology. 12(3). 329–342. 33 indexed citations
8.
Manners, Prudence & Peter Robbins. (2000). Chronic Recurrent Multifocal Osteomyelitis with Crohnʼs Disease Exacerbation and Vasculitis After Granulocyte Colony-Stimulating Factor Therapy. JCR Journal of Clinical Rheumatology. 6(5). 283–290. 8 indexed citations
9.
Zheng, Minghao, Jiake Xu, Peter Robbins, et al.. (2000). Gene expression of vascular endothelial growth factor in giant cell tumors of bone. Human Pathology. 31(7). 804–812. 42 indexed citations
10.
Holthouse, David, Peter Robbins, & Neville W. Knuckey. (1999). Solitary intradural fibrochondroma in a 16-year-old boy. Journal of Clinical Neuroscience. 6(4). 355–357. 2 indexed citations
11.
Soong, Richie, Peter Robbins, Brett R. Dix, et al.. (1996). Concordance between p53 protein overexpression and gene mutation in a large series of common human carcinomas. Human Pathology. 27(10). 1050–1055. 137 indexed citations
12.
Choong, Peter, Hugh Dawkins, Gregory F. Sterrett, et al.. (1996). Predicting axillary lymph node metastases in breast carcinoma patients. Breast Cancer Research and Treatment. 37(2). 135–149. 22 indexed citations
13.
Dix, Brett R., et al.. (1995). Clonal Analysis of Colorectal Tumors Using K-ras and p53 Gene Mutations as Markers. Diagnostic Molecular Pathology. 4(4). 261–265. 25 indexed citations
14.
Leong, Anthony S.‐Y., Peter Robbins, & Dominic V. Spagnolo. (1995). Tumor genes and their proteins in cytologic and surgical specimens: Relevance and detection systems. Diagnostic Cytopathology. 13(5). 411–422. 4 indexed citations
15.
Harvey, Jennet, et al.. (1994). Hormone-Regulated Genes (pS2, PIP, FAS) in Breast Cancer and Nontumoral Mammary Tissue. Pathobiology. 62(2). 82–89. 8 indexed citations
16.
Dawkins, Hugh, Peter Robbins, Mohinder Sarna, et al.. (1994). Evaluation of the expression levels of nm23-h1 mRNA in primary breast cancer, benign breast disease, axillary lymph nodes and normal breast tissue. Pathology. 26(4). 423–428. 18 indexed citations
17.
Robbins, Peter, et al.. (1994). Stereotactic biopsy of 100 intracerebral lesions at Sir Charles Gairdner Hospital. Pathology. 26(4). 410–413. 28 indexed citations
18.
Dix, Brett R., et al.. (1994). The common molecular genetic alterations in Dukes' B and C colorectal carcinomas are not short‐term prognostic indicators of survival. International Journal of Cancer. 59(6). 747–751. 99 indexed citations
19.
Dawkins, Hugh, et al.. (1994). Expression of stromelysin‐3 and nm23 in breast carcinoma and related tissues. International Journal of Cancer. 58(2). 157–160. 13 indexed citations
20.
Dawkins, H.J.S., Peter Robbins, Karen Smith, et al.. (1993). What's New in Breast Cancer?. Pathology - Research and Practice. 189(10). 1233–1252. 23 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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