Andrew E. Schade

5.5k total citations · 1 hit paper
48 papers, 1.1k citations indexed

About

Andrew E. Schade is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Andrew E. Schade has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Immunology and 9 papers in Genetics. Recurrent topics in Andrew E. Schade's work include Angiogenesis and VEGF in Cancer (7 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Complement system in diseases (4 papers). Andrew E. Schade is often cited by papers focused on Angiogenesis and VEGF in Cancer (7 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Complement system in diseases (4 papers). Andrew E. Schade collaborates with scholars based in United States, Sweden and Australia. Andrew E. Schade's co-authors include Alan D. Levine, Jaroslaw P. Maciejewski, Marcin W. Włodarski, Hadrian Szpurka, Anna Jankowska, Vojkan Susulic, Robert Townsend, Rosemary Zhang, Gary L. Schieven and Timothy R. Holzer and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Andrew E. Schade

45 papers receiving 1.1k citations

Hit Papers

Association of Donanemab Treatment With Exploratory Plasm... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew E. Schade United States 16 354 305 239 225 221 48 1.1k
Jack Shi United States 13 396 1.1× 247 0.8× 394 1.6× 228 1.0× 203 0.9× 19 1.1k
Andrej Skerjanec Switzerland 19 332 0.9× 705 2.3× 669 2.8× 65 0.3× 132 0.6× 44 1.9k
Sujata Arora United States 15 169 0.5× 297 1.0× 534 2.2× 72 0.3× 219 1.0× 41 1.4k
Suzanne J.A. Korporaal Netherlands 22 258 0.7× 341 1.1× 171 0.7× 59 0.3× 288 1.3× 51 1.5k
Gurjeet Bhangal United Kingdom 20 353 1.0× 401 1.3× 83 0.3× 106 0.5× 75 0.3× 32 1.2k
Swaminathan Murugappan United States 15 129 0.4× 336 1.1× 382 1.6× 114 0.5× 458 2.1× 27 1.3k
Naoya Mimura Japan 23 207 0.6× 901 3.0× 366 1.5× 104 0.5× 555 2.5× 84 1.8k
Toshiyuki Kitano Japan 18 234 0.7× 782 2.6× 536 2.2× 86 0.4× 139 0.6× 70 1.6k
SJ Lauer United States 16 80 0.2× 586 1.9× 176 0.7× 153 0.7× 321 1.5× 19 1.6k
Keith Abe United States 14 112 0.3× 354 1.2× 197 0.8× 134 0.6× 291 1.3× 16 997

Countries citing papers authored by Andrew E. Schade

Since Specialization
Citations

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

Fields of papers citing papers by Andrew E. Schade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew E. Schade. 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 Andrew E. Schade. The network helps show where Andrew E. Schade may publish in the future.

Co-authorship network of co-authors of Andrew E. Schade

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew E. Schade. A scholar is included among the top collaborators of Andrew E. Schade 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 Andrew E. Schade. Andrew E. Schade 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.
Lu, Ming‐Chi, Amanda Sheffield Morris, Rose Beck, et al.. (2025). Analytical Validation and Performance of a Blood-Based P-tau217 Diagnostic Test for Alzheimer Disease. The Journal of Applied Laboratory Medicine. 10(3). 533–545. 4 indexed citations
2.
Hodsdon, Michael E., Ming‐Chi Lu, Amanda Sheffield Morris, et al.. (2024). Clinical validation of the Eli Lilly SPX P‐tau217 blood‐based immunoassay as a laboratory‐developed test (LDT). Alzheimer s & Dementia. 20(S8).
5.
Ackermann, Bradley L., Ryan D. Morrison, Matthew D Westfall, et al.. (2023). Targeted Quantitative Mass Spectrometry Analysis of Protein Biomarkers From Previously Stained Single Formalin-Fixed Paraffin-Embedded Tissue Sections. Laboratory Investigation. 103(4). 100052–100052. 3 indexed citations
6.
Dougan, Marcelle, Ajay Nirula, Robert Gottlieb, et al.. (2021). Bamlanivimab+etesevimab for treatment of COVID-19 in high-risk ambulatory patients. 29(1). 33–33. 6 indexed citations
7.
Cohen, Max, Ajay Nirula, Mary Marovich, et al.. (2021). Bamlanivimab prevents COVID-19 morbidity and mortality in nursing-home setting. 29(1). 32–33. 4 indexed citations
8.
Liebler, D.C., Ryan D. Morrison, Robbert J.C. Slebos, et al.. (2020). Accelerated instability testing reveals quantitative mass spectrometry overcomes specimen storage limitations associated with PD-L1 immunohistochemistry. Laboratory Investigation. 100(6). 874–886. 22 indexed citations
9.
Liebler, D.C., Timothy R. Holzer, Ryan D. Morrison, et al.. (2020). Analysis of Immune Checkpoint Drug Targets and Tumor Proteotypes in Non-Small Cell Lung Cancer. Scientific Reports. 10(1). 9805–9805. 19 indexed citations
10.
Walk, Eric, Sophia Yohe, Andrew E. Schade, et al.. (2019). The Cancer Immunotherapy Biomarker Testing Landscape. Archives of Pathology & Laboratory Medicine. 144(6). 706–724. 61 indexed citations
11.
Nasir, Aejaz, et al.. (2017). Differential expression of VEGFR2 protein in HER2 positive primary human breast cancer: potential relevance to anti-angiogenic therapies. Cancer Cell International. 17(1). 56–56. 25 indexed citations
12.
Jankowska, Ania, Hadrian Szpurka, Maria Grazia Calabró, et al.. (2011). Loss of expression of neutrophil proteinase-3: a factor contributing to thrombotic risk in paroxysmal nocturnal hemoglobinuria. Haematologica. 96(7). 954–962. 9 indexed citations
13.
Osinbowale, Olusegun, Monzr M. Al Malki, Andrew E. Schade, & John R. Bartholomew. (2009). An algorithm for managing warfarin resistance. Cleveland Clinic Journal of Medicine. 76(12). 724–730. 31 indexed citations
14.
Gibson, Sarah E., Andrew E. Schade, Hadrian Szpurka, et al.. (2008). Phospho-STAT5 expression pattern with the MPL W515L mutation is similar to that seen in chronic myeloproliferative disorders with JAK2 V617F. Human Pathology. 39(7). 1111–1114. 9 indexed citations
15.
Szpurka, Hadrian, Andrew E. Schade, Anna Jankowska, & Jaroslaw P. Maciejewski. (2008). Altered lipid raft composition and defective cell death signal transduction in glycosylphosphatidylinositol anchor‐deficient PIG‐A mutant cells. British Journal of Haematology. 142(3). 413–422. 14 indexed citations
16.
Downs‐Kelly, Erinn, Andrew E. Schade, & Donna E. Hansel. (2007). The role of HLA-G in gastrointestinal inflammatory disease and malignancy. Seminars in Cancer Biology. 17(6). 451–458. 9 indexed citations
17.
Schade, Andrew E., Marcin W. Włodarski, & Jaroslaw P. Maciejewski. (2006). Pathophysiology Defined by Altered Signal Transduction Pathways: The Role of JAK-STAT and PI3K Signaling in Leukemic Large Granular Lymphocytes. Cell Cycle. 5(22). 2571–2574. 35 indexed citations
18.
Włodarski, Marcin W., Andrew E. Schade, & Jaroslaw P. Maciejewski. (2006). T-large granular lymphocyte leukemia: current molecular concepts. Hematology. 11(4). 245–256. 24 indexed citations
19.
Schade, Andrew E. & Alan D. Levine. (2004). Cutting Edge: Extracellular Signal-Regulated Kinases 1/2 Function as Integrators of TCR Signal Strength. The Journal of Immunology. 172(10). 5828–5832. 30 indexed citations
20.
Schade, Andrew E. & Alan D. Levine. (2002). Signal transduction through the T cell receptor is dynamically regulated by balancing kinase and phosphatase activities. Biochemical and Biophysical Research Communications. 296(3). 637–643. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026