Lydia Contis

1.4k total citations · 1 hit paper
20 papers, 995 citations indexed

About

Lydia Contis is a scholar working on Oncology, Artificial Intelligence and Surgery. According to data from OpenAlex, Lydia Contis has authored 20 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Artificial Intelligence and 4 papers in Surgery. Recurrent topics in Lydia Contis's work include AI in cancer detection (5 papers), Acute Myeloid Leukemia Research (4 papers) and Ear and Head Tumors (3 papers). Lydia Contis is often cited by papers focused on AI in cancer detection (5 papers), Acute Myeloid Leukemia Research (4 papers) and Ear and Head Tumors (3 papers). Lydia Contis collaborates with scholars based in United States and Canada. Lydia Contis's co-authors include John R. Krause, Liron Pantanowitz, Anil V. Parwani, Walter H. Henricks, John H. Sinard, Alexis B. Carter, Bruce A. Beckwith, Andrew Evans, Lisa A. Fatheree and Leon Barnes and has published in prestigious journals such as Blood, Cancer and Journal of Clinical Microbiology.

In The Last Decade

Lydia Contis

20 papers receiving 965 citations

Hit Papers

Validating Whole Slide Imaging for Diagnostic Purposes in... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lydia Contis United States 12 398 379 277 185 127 20 995
Lisa A. Fatheree United States 15 417 1.0× 372 1.0× 161 0.6× 224 1.2× 118 0.9× 36 1.1k
Thomas Clozel United States 13 439 1.1× 265 0.7× 241 0.9× 463 2.5× 102 0.8× 18 1.4k
Ilaria Girolami Italy 25 354 0.9× 556 1.5× 249 0.9× 285 1.5× 61 0.5× 76 1.5k
Sara Kochanny United States 16 261 0.7× 341 0.9× 232 0.8× 267 1.4× 43 0.3× 37 1.0k
Richard Colling United Kingdom 18 318 0.8× 252 0.7× 72 0.3× 263 1.4× 66 0.5× 47 769
Pamela Michelow South Africa 18 359 0.9× 251 0.7× 222 0.8× 315 1.7× 33 0.3× 63 1.0k
Andrey Bychkov Japan 26 312 0.8× 307 0.8× 410 1.5× 426 2.3× 41 0.3× 93 1.8k
Alessandro Caputo Italy 16 197 0.5× 141 0.4× 173 0.6× 168 0.9× 37 0.3× 80 701
Walid E. Khalbuss United States 21 185 0.5× 373 1.0× 559 2.0× 91 0.5× 50 0.4× 91 1.5k
Swapnil Rane India 16 179 0.4× 182 0.5× 112 0.4× 279 1.5× 30 0.2× 82 853

Countries citing papers authored by Lydia Contis

Since Specialization
Citations

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

Fields of papers citing papers by Lydia Contis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lydia Contis

This figure shows the co-authorship network connecting the top 25 collaborators of Lydia Contis. A scholar is included among the top collaborators of Lydia Contis 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 Lydia Contis. Lydia Contis 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.
Seheult, Jansen N., Michelle Stram, Lydia Contis, et al.. (2023). Development, Evaluation, and Multisite Deployment of a Machine Learning Decision Tree Algorithm To Optimize Urinalysis Parameters for Predicting Urine Culture Positivity. Journal of Clinical Microbiology. 61(6). e0029123–e0029123. 8 indexed citations
2.
Garcia, Christine, et al.. (2018). Neurologic immune-related adverse events associated with adjuvant ipilimumab: report of two cases. Journal for ImmunoTherapy of Cancer. 6(1). 83–83. 40 indexed citations
3.
Garcia, Christine, et al.. (2017). Sharing Cellavision Blood Smear Images with Clinicians Via the Electronic Medical Record. Blood. 130. 5586–5586. 2 indexed citations
4.
Pantanowitz, Liron, John H. Sinard, Walter H. Henricks, et al.. (2013). Validating Whole Slide Imaging for Diagnostic Purposes in Pathology: Guideline from the College of American Pathologists Pathology and Laboratory Quality Center. Archives of Pathology & Laboratory Medicine. 137(12). 1710–1722. 436 indexed citations breakdown →
5.
Rollins‐Raval, Marian A., Jay S. Raval, & Lydia Contis. (2012). Experience with CellaVision DM96 for peripheral blood differentials in a large multi-center academic hospital system. Journal of Pathology Informatics. 3(1). 29–29. 35 indexed citations
6.
Pantanowitz, Liron, Clayton A. Wiley, Anthony J. Demetris, et al.. (2012). Experience with multimodality telepathology at the University of Pittsburgh Medical Center. Journal of Pathology Informatics. 3(1). 45–45. 83 indexed citations
7.
Pantanowitz, Liron, John H. Sinard, Lisa A. Fatheree, et al.. (2012). Recommendations for Validating Whole Slide Imaging in Pathology: College of American Pathologists Pathology and Laboratory Quality Center. American Journal of Clinical Pathology. 138(suppl_1). A194–A194. 1 indexed citations
9.
Clarke, Martha, et al.. (1996). Near-tetraploidy in adult acute myelogenous leukemia. Cancer Genetics and Cytogenetics. 86(2). 107–115. 24 indexed citations
11.
Schoedel, Karen, et al.. (1995). Chordomas: pathological features; ploidy and silver nucleolar organizing region analysis. Acta Neuropathologica. 89(2). 139–143. 17 indexed citations
12.
Schoedel, Karen, et al.. (1995). Chordomas: pathological features; ploidy and silver nucleolar organizing region analysis. Acta Neuropathologica. 89(2). 139–143. 1 indexed citations
13.
Barnes, Leon, et al.. (1994). Salivary duct carcinoma. Oral Surgery Oral Medicine Oral Pathology. 78(1). 74–80. 78 indexed citations
14.
Raslan, Wasim F., et al.. (1994). Basaloid squamous cell carcinoma of the head and neck: A clinicopathologic and flow cytometric study of 10 new cases with review of the English literature. American Journal of Otolaryngology. 15(3). 204–211. 81 indexed citations
15.
Randhawa, Parmjeet, Adriana Zeevi, Susanne M. Gollin, et al.. (1994). Morphologic and immunophenotypic characterization of a cell line derived from liver tissue with epstein-barr virus associated post-transplant lymphoproliferative disease. In Vitro Cellular & Developmental Biology - Animal. 30(6). 400–406. 5 indexed citations
16.
Barnes, Leon, et al.. (1994). Salivary duct carcinoma. Oral Surgery Oral Medicine Oral Pathology. 78(1). 64–73. 103 indexed citations
17.
Stanko, Ronald T., et al.. (1994). Pyruvate inhibits growth of mammary adenocarcinoma 13762 in rats.. PubMed. 54(4). 1004–7. 4 indexed citations
18.
Barnes, Leon, Martin Weber, John R. Krause, Lydia Contis, & Ivo P. Janecka. (1992). Angiofibroma: A Flow Cytometric Evaluation of 31 Cases. Skull base. 2(4). 195–198. 3 indexed citations
19.
Kaplan, Sandra S., Lila Penchansky, Viktor Štolc, Lydia Contis, & John R. Krause. (1989). Immunophenotyping in the classification of acute leukemia in adults. Interpretation of multiple lineage reactivity. Cancer. 63(8). 1520–1527. 28 indexed citations
20.
Krause, John R., Lila Penchansky, Lydia Contis, & Sandra S. Kaplan. (1988). Flow Cytometry in the Diagnosis of Acute Leukemia. American Journal of Clinical Pathology. 89(3). 341–346. 24 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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