Judith Burnham

2.2k total citations · 1 hit paper
18 papers, 1.7k citations indexed

About

Judith Burnham is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Judith Burnham has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Judith Burnham's work include Glioma Diagnosis and Treatment (7 papers), Sarcoma Diagnosis and Treatment (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). Judith Burnham is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Sarcoma Diagnosis and Treatment (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). Judith Burnham collaborates with scholars based in United States. Judith Burnham's co-authors include Ronald Jaffe, Ian F. Pollack, Ronald L. Hamilton, Jonathan L. Finlay, Emiko J. Holmes, L Makowka, Joseph Locker, Thomas E. Starzl, Michael A. Nalesnik and A J Demetris and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Judith Burnham

18 papers receiving 1.7k citations

Hit Papers

The pathology of posttransplant lymphoproliferative disor... 1988 2026 2000 2013 1988 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Judith Burnham United States 15 638 602 400 384 334 18 1.7k
Eugenio Villa Italy 25 841 1.3× 354 0.6× 192 0.5× 116 0.3× 399 1.2× 52 1.9k
Pramod Kumar Julka India 22 326 0.5× 382 0.6× 227 0.6× 341 0.9× 159 0.5× 124 1.6k
Deirdre Jill Cohen United States 23 741 1.2× 225 0.4× 133 0.3× 327 0.9× 161 0.5× 96 1.7k
Domenico Novero Italy 25 570 0.9× 408 0.7× 234 0.6× 258 0.7× 547 1.6× 82 1.7k
Daisuke Ennishi Japan 20 656 1.0× 452 0.8× 121 0.3× 289 0.8× 263 0.8× 109 1.5k
Tore Halvorsen Norway 23 655 1.0× 382 0.6× 220 0.6× 276 0.7× 150 0.4× 44 2.0k
José María Sayagués Spain 23 292 0.5× 231 0.4× 289 0.7× 367 1.0× 229 0.7× 66 1.3k
Martin‐Leo Hansmann Germany 18 530 0.8× 258 0.4× 133 0.3× 163 0.4× 113 0.3× 27 1.3k
Hui-Qiang Huang China 22 819 1.3× 151 0.3× 189 0.5× 190 0.5× 150 0.4× 51 1.4k
R. D. Gascoyne Canada 24 684 1.1× 599 1.0× 90 0.2× 535 1.4× 236 0.7× 39 1.9k

Countries citing papers authored by Judith Burnham

Since Specialization
Citations

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

Fields of papers citing papers by Judith Burnham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judith Burnham

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

All Works

18 of 18 papers shown
1.
Horbinski, Craig, et al.. (2009). Impact of Morphology, MIB‐1, p53 and MGMT on Outcome in Pilocytic Astrocytomas. Brain Pathology. 20(3). 581–588. 21 indexed citations
2.
Pollack, Ian F., Ronald L. Hamilton, C. David James, et al.. (2006). Rarity ofPTENdeletions andEGFRamplification in malignant gliomas of childhood: results from the Children’s Cancer Group 945 cohort. Journal of Neurosurgery Pediatrics. 105(5). 418–424. 107 indexed citations
3.
Pollack, Ian F., Ronald L. Hamilton, Robert W. Sobol, et al.. (2006). O6-Methylguanine-DNA Methyltransferase Expression Strongly Correlates With Outcome in Childhood Malignant Gliomas: Results From the CCG-945 Cohort. Journal of Clinical Oncology. 24(21). 3431–3437. 131 indexed citations
4.
Pollack, Ian F., Sydney Finkelstein, Judith Burnham, et al.. (2003). Association between Chromosome 1p and 19q Loss and Outcome in Pediatric Malignant Gliomas: Results from the CCG-945 Cohort. Pediatric Neurosurgery. 39(3). 114–121. 38 indexed citations
5.
Pollack, Ian F., Sydney Finkelstein, Judith Burnham, et al.. (2002). Expression of p53 and Prognosis in Children with Malignant Gliomas. New England Journal of Medicine. 346(6). 420–427. 206 indexed citations
6.
Pollack, Ian F., Ronald L. Hamilton, Judith Burnham, et al.. (2002). Impact of Proliferation Index on Outcome in Childhood Malignant Gliomas: Results in a Multi-institutional Cohort. Neurosurgery. 50(6). 1238–1245. 4 indexed citations
7.
Pollack, Ian F., Ronald L. Hamilton, Judith Burnham, et al.. (2002). Impact of Proliferation Index on Outcome in Childhood Malignant Gliomas: Results in a Multi-institutional Cohort. Neurosurgery. 50(6). 1238–1245. 55 indexed citations
8.
Pollack, Ian F., Sydney D. Finkelstein, Judith Burnham, et al.. (2001). Age and TP53 mutation frequency in childhood malignant gliomas: results in a multi-institutional cohort.. PubMed. 61(20). 7404–7. 104 indexed citations
9.
Kowalski, Lynn D., Anisa Kanbour, Fredric V. Price, et al.. (1997). A case-matched molecular comparison of extraovarian versus primary ovarian adenocarcinoma. Cancer. 79(8). 1587–1594. 45 indexed citations
10.
Kowalski, Lynn D., Anisa Kanbour, Fredric V. Price, et al.. (1997). A case‐matched molecular comparison of extraovarian versus primary ovarian adenocarcinoma. Cancer. 79(8). 1587–1594. 1 indexed citations
11.
Shimonkevitz, Richard, et al.. (1993). Clonal expansions of activated gamma/delta T cells in recent-onset multiple sclerosis.. Proceedings of the National Academy of Sciences. 90(3). 923–927. 118 indexed citations
12.
Banner, Barbara F., et al.. (1990). Immunophenotypic markers in renal cell carcinoma.. PubMed. 3(2). 129–34. 17 indexed citations
13.
Berman, Michael A., Judith Burnham, & Daniel G. Sheahan. (1988). Fibrolamellar carcinoma of the liver: An immunohistochemical study of nineteen cases and a review of the literature. Human Pathology. 19(7). 784–794. 95 indexed citations
14.
Nalesnik, Michael A., Ronald Jaffe, Thomas E. Starzl, et al.. (1988). The pathology of posttransplant lymphoproliferative disorders occurring in the setting of cyclosporine A-prednisone immunosuppression.. PubMed. 133(1). 173–92. 586 indexed citations breakdown →
15.
Nalesnik, M, Joseph Locker, Ronald Jaffe, et al.. (1988). Clonal characteristics of posttransplant lymphoproliferative disorders.. PubMed. 20(1 Suppl 1). 280–3. 13 indexed citations
16.
Aj, Demetris, et al.. (1987). Antibody deposition in liver allografts with chronic rejection.. PubMed. 19(4 Suppl 5). 121–5. 24 indexed citations
17.
Aj, Demetris, et al.. (1986). Recurrent hepatitis B in liver allograft recipients. Differentiation between viral hepatitis B and rejection.. PubMed. 125(1). 161–72. 109 indexed citations
18.
Jaffe, Randal C., et al.. (1986). Recurrent hepatitis B in liver allograft recipients. D-Scholarship@Pitt (University of Pittsburgh). 32 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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