Pamela A. Althof

692 total citations
17 papers, 472 citations indexed

About

Pamela A. Althof is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Pamela A. Althof has authored 17 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Pamela A. Althof's work include Sarcoma Diagnosis and Treatment (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Pamela A. Althof is often cited by papers focused on Sarcoma Diagnosis and Treatment (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Pamela A. Althof collaborates with scholars based in United States, Canada and Japan. Pamela A. Althof's co-authors include Julia A. Bridge, James R. Neff, Ming Zhou, Jacqueline Bailey, Jennifer N. Sanmann, Marilu Nelson, Kazuo Ohmori, Sabine Naumann, Leslie A. Bruch and Jun Nishio and has published in prestigious journals such as The American Journal of Surgical Pathology, British Journal of Haematology and Journal of Clinical Pathology.

In The Last Decade

Pamela A. Althof

16 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pamela A. Althof United States 9 199 178 145 119 115 17 472
Javier Lavernia Spain 13 181 0.9× 247 1.4× 179 1.2× 162 1.4× 81 0.7× 53 527
Xiongzeng Zhu China 14 213 1.1× 297 1.7× 133 0.9× 122 1.0× 74 0.6× 43 611
Shotaro Maeda Japan 11 99 0.5× 141 0.8× 91 0.6× 113 0.9× 134 1.2× 29 453
Jim Janinis Greece 12 213 1.1× 266 1.5× 138 1.0× 238 2.0× 126 1.1× 22 590
Josh Haimes United States 8 154 0.8× 196 1.1× 100 0.7× 132 1.1× 96 0.8× 13 447
Jorge Torres‐Mora United States 10 154 0.8× 189 1.1× 106 0.7× 149 1.3× 112 1.0× 38 527
Marije IJszenga Netherlands 10 173 0.9× 397 2.2× 171 1.2× 228 1.9× 54 0.5× 11 642
André Pinto United States 16 270 1.4× 303 1.7× 116 0.8× 72 0.6× 175 1.5× 56 753
Sumathi Vaiyapuri United Kingdom 10 141 0.7× 410 2.3× 88 0.6× 245 2.1× 54 0.5× 19 556
Yoshinao Oda Japan 14 281 1.4× 320 1.8× 135 0.9× 165 1.4× 164 1.4× 21 734

Countries citing papers authored by Pamela A. Althof

Since Specialization
Citations

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

Fields of papers citing papers by Pamela A. Althof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela A. Althof. 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 Pamela A. Althof. The network helps show where Pamela A. Althof may publish in the future.

Co-authorship network of co-authors of Pamela A. Althof

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

All Works

17 of 17 papers shown
1.
Stevens, Jadd M., Diane L. Pickering, Pamela A. Althof, et al.. (2021). Frequency, variations, and prognostic implications of chromosome 14q32 deletions in chronic lymphocytic leukemia. Leukemia Research. 110. 106665–106665. 3 indexed citations
2.
Smith, Scott C., et al.. (2020). MECOM rearrangement involving the MYC locus: Two additional patients with the rare translocation, t(3;8)(q26.2;q24), and molecular review. Leukemia Research. 95. 106387–106387. 2 indexed citations
3.
Smith, Scott C., Pamela A. Althof, Bhavana J. Davé, & Jennifer N. Sanmann. (2020). High‐risk cytogenetics in multiple myeloma: Further scrutiny of deletions within the IGH gene region enhances risk stratification. Genes Chromosomes and Cancer. 59(10). 569–574. 8 indexed citations
4.
Althof, Pamela A., et al.. (2020). Large B-Cell Lymphoma With IRF4 Rearrangement Involving Lung. American Journal of Clinical Pathology. 154(Supplement_1). S152–S153.
5.
Stevens, Todd M., Qiuying Shi, Qian Dai, et al.. (2015). Mammary analog secretory carcinoma, low-grade salivary duct carcinoma, and mimickers: a comparative study. Modern Pathology. 28(8). 1084–1100. 92 indexed citations
6.
Sanmann, Jennifer N., Diane L. Pickering, Jadd M. Stevens, et al.. (2015). Assessing the utility of confirmatory studies following identification of large-scale genomic imbalances by microarray. Genetics in Medicine. 17(11). 875–879. 5 indexed citations
7.
Qin, Jianbing, et al.. (2015). A formalin-free method for stabilizing cells for nucleic acid amplification, hybridization and next-generation sequencing. BMC Research Notes. 8(1). 755–755. 1 indexed citations
8.
Hagelstrom, R. Tanner, James M. Ford, Marilu Nelson, et al.. (2015). Breast Cancer and Non-Hodgkin Lymphoma in a Young Male with Cowden Syndrome. Pediatric Blood & Cancer. 63(3). 544–546. 8 indexed citations
9.
Perry, Anamarija M., David G. Crockett, Bhavana J. Davé, et al.. (2013). B‐cell lymphoma, unclassifiable, with features intermediate between diffuse large B‐cell lymphoma and burkitt lymphoma: study of 39 cases. British Journal of Haematology. 162(1). 40–49. 58 indexed citations
10.
Caponetti, Gabriel C., Roberto N. Miranda, Pamela A. Althof, et al.. (2012). Immunohistochemical and molecular cytogenetic evaluation of potential targets for tyrosine kinase inhibitors in Langerhans cell histiocytosis. Human Pathology. 43(12). 2223–2228. 12 indexed citations
11.
Schiffman, Joshua D., Mona S. Jahromi, Jonathan M. Downie, et al.. (2011). Genome wide copy number analysis of paediatric Burkitt lymphoma using formalin‐fixed tissues reveals a subset with gain of chromosome 13q and corresponding miRNA over expression. British Journal of Haematology. 155(4). 477–486. 45 indexed citations
12.
Yasuda, Taketoshi, Jun Nishio, János Sümegi, et al.. (2009). Aberrations of 6q13 mapped to the COL12A1 locus in chondromyxoid fibroma. Modern Pathology. 22(11). 1499–1506. 12 indexed citations
13.
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
14.
Nishio, Jun, Hiroshi Iwasaki, Pamela A. Althof, et al.. (2005). Identification of a ring chromosome with spectral karyotyping in a pleural synovial sarcoma. Cancer Genetics and Cytogenetics. 160(2). 174–178. 5 indexed citations
15.
Deyrup, Andrea T., Pamela A. Althof, Michael L. Morgan, et al.. (2004). Paraganglioma-like Dermal Melanocytic Tumor. The American Journal of Surgical Pathology. 28(12). 1579–1586. 35 indexed citations
16.
17.
Althof, Pamela A., Kazuo Ohmori, Ming Zhou, et al.. (2004). Cytogenetic and molecular cytogenetic findings in 43 aneurysmal bone cysts: aberrations of 17p mapped to 17p13.2 by fluorescence in situ hybridization. Modern Pathology. 17(5). 518–525. 79 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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