David M. Parham

21.1k total citations · 1 hit paper
330 papers, 13.5k citations indexed

About

David M. Parham is a scholar working on Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, David M. Parham has authored 330 papers receiving a total of 13.5k indexed citations (citations by other indexed papers that have themselves been cited), including 199 papers in Pulmonary and Respiratory Medicine, 104 papers in Pathology and Forensic Medicine and 76 papers in Surgery. Recurrent topics in David M. Parham's work include Sarcoma Diagnosis and Treatment (170 papers), Tumors and Oncological Cases (65 papers) and Bone Tumor Diagnosis and Treatments (32 papers). David M. Parham is often cited by papers focused on Sarcoma Diagnosis and Treatment (170 papers), Tumors and Oncological Cases (65 papers) and Bone Tumor Diagnosis and Treatments (32 papers). David M. Parham collaborates with scholars based in United States, United Kingdom and Canada. David M. Parham's co-authors include William H. Meyer, James R. Anderson, Dale A. Ellison, Douglas S. Hawkins, Bruce L. Webber, Frederic G. Barr, Alberto S. Pappo, Harold M. Maurer, Stephen J. Qualman and J. Bruce Beckwith and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

David M. Parham

325 papers receiving 13.0k citations

Hit Papers

Severe Acquired Immunodef... 1981 2026 1996 2011 1981 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David M. Parham 8.6k 4.0k 3.4k 3.3k 3.0k 330 13.5k
Paola Dal Cin 8.9k 1.0× 3.8k 0.9× 5.2k 1.5× 4.0k 1.2× 5.3k 1.8× 349 18.9k
Helmut Gadner 4.8k 0.6× 3.3k 0.8× 2.9k 0.9× 3.9k 1.2× 1.7k 0.6× 408 20.4k
Nelson G. Ordóǹez 7.9k 0.9× 2.8k 0.7× 3.0k 0.9× 6.5k 2.0× 2.9k 1.0× 391 18.0k
Antonio R. Pérez‐Atayde 4.2k 0.5× 2.0k 0.5× 5.8k 1.7× 3.2k 1.0× 2.8k 0.9× 297 17.4k
Mark R. Wick 5.2k 0.6× 2.7k 0.7× 2.3k 0.7× 5.9k 1.8× 2.4k 0.8× 461 16.5k
Louis P. Dehner 7.5k 0.9× 3.2k 0.8× 3.6k 1.1× 3.4k 1.0× 5.3k 1.8× 441 20.4k
Alberto G. Ayala 10.5k 1.2× 1.8k 0.5× 2.7k 0.8× 4.2k 1.3× 6.9k 2.3× 434 18.8k
Mark C. Gebhardt 11.5k 1.3× 1.8k 0.4× 2.1k 0.6× 3.8k 1.1× 7.4k 2.5× 232 17.8k
Andrew E. Rosenberg 8.7k 1.0× 2.0k 0.5× 1.2k 0.3× 3.5k 1.1× 7.9k 2.6× 389 15.4k
John R. Goldblum 12.4k 1.4× 3.6k 0.9× 2.0k 0.6× 5.7k 1.7× 4.7k 1.6× 362 22.7k

Countries citing papers authored by David M. Parham

Since Specialization
Citations

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

Fields of papers citing papers by David M. Parham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Parham. 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 David M. Parham. The network helps show where David M. Parham may publish in the future.

Co-authorship network of co-authors of David M. Parham

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Parham. A scholar is included among the top collaborators of David M. Parham 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 David M. Parham. David M. Parham 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.
Fair, Douglas, Luke Maese, Yueh‐Yun Chi, et al.. (2023). TP53 germline pathogenic variant frequency in anaplastic rhabdomyosarcoma: A Children's Oncology Group report. Pediatric Blood & Cancer. 70(9). e30413–e30413. 4 indexed citations
2.
Alvarez, Elysia, Jiayi He, Sheri L. Spunt, et al.. (2022). Lymph node metastases in paediatric and young adult patients with non-rhabdomyosarcoma soft tissue sarcoma (NRSTS): Findings from Children's Oncology Group (COG) study ARST0332. European Journal of Cancer. 180. 89–98. 7 indexed citations
4.
5.
Raney, R. Beverly, Christophe Bergeron, & David M. Parham. (2018). English Translation of M. Bérard: Tumeur Embryonnaire Du Muscle Strié. [Embryonal Tumor of Striated Muscle]. Lyon Med 1894; 77: 52. Fetal and Pediatric Pathology. 38(2). 182–184. 4 indexed citations
6.
Rudzinski, Erin R., James R. Anderson, Yueh‐Yun Chi, et al.. (2017). Histology, fusion status, and outcome in metastatic rhabdomyosarcoma: A report from the Children's Oncology Group. Pediatric Blood & Cancer. 64(12). 65 indexed citations
7.
Ji, Jianling, David M. Parham, Li Shen, et al.. (2017). Inherited germline ATRX mutation in two brothers with ATR‐X syndrome and osteosarcoma. American Journal of Medical Genetics Part A. 173(5). 1390–1395. 23 indexed citations
9.
Rudzinski, Erin R., Lisa A. Teot, James R. Anderson, et al.. (2013). Dense Pattern of Embryonal Rhabdomyosarcoma, a Lesion Easily Confused With Alveolar Rhabdomyosarcoma. American Journal of Clinical Pathology. 140(1). 82–90. 66 indexed citations
10.
Weiss, Aaron R., Elizabeth Lyden, James R. Anderson, et al.. (2013). Histologic and Clinical Characteristics Can Guide Staging Evaluations for Children and Adolescents With Rhabdomyosarcoma: A Report From the Children's Oncology Group Soft Tissue Sarcoma Committee. Journal of Clinical Oncology. 31(26). 3226–3232. 75 indexed citations
11.
Husain, Aliya N., David M. Parham, Timothy J. Triche, et al.. (2013). A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer. Cancer Research. 73(18). 5625–5632. 4 indexed citations
12.
Skapek, Stephen X., James R. Anderson, Frederic G. Barr, et al.. (2013). PAX-FOXO1 fusion status drives unfavorable outcome for children with rhabdomyosarcoma: A children's oncology group report. Pediatric Blood & Cancer. 60(9). 1411–1417. 178 indexed citations
13.
Mascarenhas, Leo, Elizabeth Lyden, Philip P. Breitfeld, et al.. (2010). Randomized Phase II Window Trial of Two Schedules of Irinotecan With Vincristine in Patients With First Relapse or Progression of Rhabdomyosarcoma: A Report From the Children's Oncology Group. Journal of Clinical Oncology. 28(30). 4658–4663. 80 indexed citations
14.
Parham, David M.. (2010). Current concepts in pediatric pathology. Saunders eBooks. 1 indexed citations
15.
Nishio, Jun, Pamela A. Althof, Jacqueline Bailey, et al.. (2006). Use of a novel FISH assay on paraffin-embedded tissues as an adjunct to diagnosis of alveolar rhabdomyosarcoma. Laboratory Investigation. 86(6). 547–556. 56 indexed citations
16.
Parham, David M.. (1996). Pediatric neoplasia : morphology and biology. 62 indexed citations
17.
Smith, D. M., Hazem H. Mahmoud, Jesse J. Jenkins, et al.. (1995). Myofibrosarcoma of the Head and Neck in Children. Pediatric Pathology & Laboratory Medicine. 15(3). 403–418. 60 indexed citations
18.
Fontanesi, James, David M. Parham, Charles B. Pratt, & David Meyer. (1995). Second malignant neoplasms in children with retinoblastoma: the St. Jude Children's Research Hospital experience. Ophthalmic Genetics. 16(3). 105–108. 23 indexed citations
19.
Fontanesi, James, et al.. (1995). Asynchronous bilateral retinoblastoma: the St. Jude Children's Research Hospital experience. Ophthalmic Genetics. 16(3). 109–112. 8 indexed citations
20.
Winer-Muram, Helen T., Laura C. Bowman, & David M. Parham. (1994). Intrathoracic Desmoid Tumor: CT and MRI Appearance. Southern Medical Journal. 87(10). 1007–1009. 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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