Aaron M. Gruver

1.1k total citations
38 papers, 762 citations indexed

About

Aaron M. Gruver is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Aaron M. Gruver has authored 38 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in Aaron M. Gruver's work include Cancer Genomics and Diagnostics (7 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Lung Cancer Treatments and Mutations (5 papers). Aaron M. Gruver is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Lung Cancer Treatments and Mutations (5 papers). Aaron M. Gruver collaborates with scholars based in United States, United Kingdom and France. Aaron M. Gruver's co-authors include Raymond R. Tubbs, Douglas L. Pittman, Bryce P. Portier, John R. Gosney, Carles Escriu, John K. Field, Michael P.A. Davies, Eric D. Hsi, Changanamkandath Rajesh and Donna E. Hansel and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Gastroenterology.

In The Last Decade

Aaron M. Gruver

37 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aaron M. Gruver United States	16	376	329	194	162	101	38	762
Letizia Perracchio Italy	16	315 0.8×	382 1.2×	110 0.6×	168 1.0×	54 0.5×	33	801
Haizhen Lu China	13	231 0.6×	264 0.8×	145 0.7×	128 0.8×	42 0.4×	47	687
Elisa Gruppioni Italy	15	216 0.6×	274 0.8×	155 0.8×	136 0.8×	75 0.7×	56	703
Marissa S. Mattar United States	12	313 0.8×	290 0.9×	230 1.2×	175 1.1×	57 0.6×	22	666
Tsui‐Lien Mao Taiwan	14	321 0.9×	500 1.5×	161 0.8×	188 1.2×	146 1.4×	24	1.0k
Daniela Medicina Italy	18	302 0.8×	186 0.6×	226 1.2×	257 1.6×	41 0.4×	31	791
J.S. de Jong Netherlands	11	390 1.0×	443 1.3×	185 1.0×	297 1.8×	67 0.7×	12	854
Tatjana Vlajnic Switzerland	17	415 1.1×	203 0.6×	223 1.1×	182 1.1×	76 0.8×	53	747
Wesley O. Greaves United States	13	376 1.0×	352 1.1×	217 1.1×	249 1.5×	151 1.5×	24	857
Isabelle Vanden Bempt Belgium	16	451 1.2×	326 1.0×	128 0.7×	261 1.6×	149 1.5×	48	815

Countries citing papers authored by Aaron M. Gruver

Since Specialization

Citations

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

Fields of papers citing papers by Aaron M. Gruver

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron M. Gruver

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

All Works

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20 of 20 papers shown

McElwee, John L., Darryl Ballard, Ling Zhang, et al.. (2025). Convolutional neural network-derived neurofibrillary tangle classifiers: Investigative tools to identify maturation levels and explore post-translational modifications using laser capture microdissection coupled mass spectrometry. Journal of Neuropathology & Experimental Neurology. 85(2). 185–197.

Gruver, Aaron M., Haiyan Lu, Xiaoxian Zhao, et al.. (2023). Pathologist-trained machine learning classifiers developed to quantitate celiac disease features differentiate endoscopic biopsies according to modified marsh score and dietary intervention response. Diagnostic Pathology. 18(1). 122–122. 6 indexed citations

Griffin, Michael J., Aaron M. Gruver, Chintan Shah, et al.. (2023). Tu1352 FULLY AUTOMATED HISTOLOGICAL CLASSIFICATION OF CELL TYPES AND TISSUE REGIONS OF CELIAC DISEASE IS FEASIBLE AND CORRELATES WITH THE MARSH SCORE. Gastroenterology. 164(6). S–1027. 1 indexed citations

Crager, Michael, Sameera R. Wijayawardana, Aaron M. Gruver, et al.. (2022). Population-based estimate for the correlation of the Oncotype Dx Breast Recurrence Score® result and Ki-67 IHC MIB-1 pharmDx in HR+, HER2−, node-positive early breast cancer. Breast Cancer Research. 24(1). 74–74. 7 indexed citations

Gruver, Aaron M., Bradley L. Ackermann, Ryan D. Morrison, et al.. (2021). Proteomic characterisations of ulcerative colitis endoscopic biopsies associate with clinically relevant histological measurements of disease severity. Journal of Clinical Pathology. 75(9). 636–642. 5 indexed citations

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

Koljenović, Senada, Stefan M. Willems, Marjan H. Wieringa, et al.. (2020). A novel immunohistochemical scoring system reveals associations of C-terminal MET, ectodomain shedding, and loss of E-cadherin with poor prognosis in oral squamous cell carcinoma. Human Pathology. 104. 42–53. 5 indexed citations

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

Field, John K., et al.. (2019). Heterogeneity of PD-L1 expression in non-small cell lung cancer: Implications for specimen sampling in predicting treatment response. Lung Cancer. 134. 79–84. 124 indexed citations

10.

Scagliotti, Giorgio V., Denis Moro‐Sibilot, Jens Kollmeier, et al.. (2019). A Randomized-Controlled Phase 2 Study of the MET Antibody Emibetuzumab in Combination with Erlotinib as First-Line Treatment for EGFR Mutation–Positive NSCLC Patients. Journal of Thoracic Oncology. 15(1). 80–90. 60 indexed citations

11.

Koljenović, Senada, Stefan M. Willems, Rob Noorlag, et al.. (2019). MET ectodomain shedding is associated with poor disease-free survival of patients diagnosed with oral squamous cell carcinoma. Modern Pathology. 33(6). 1015–1032. 3 indexed citations

12.

Field, John K., et al.. (2018). P1.04-24 Digital Core Needle-Biopsy to Assess PD-L1 Expression in Non-Small Cell Lung Cancer: Optimal Sampling and Need for Re-Biopsy. Journal of Thoracic Oncology. 13(10). S534–S535. 2 indexed citations

13.

Wang, Zhen, Bryce P. Portier, Aaron M. Gruver, et al.. (2013). Automated Quantitative RNA in Situ Hybridization for Resolution of Equivocal and Heterogeneous ERBB2 (HER2) Status in Invasive Breast Carcinoma. Journal of Molecular Diagnostics. 15(2). 210–219. 59 indexed citations

14.

Gruver, Aaron M., Heesun J. Rogers, James R. Cook, et al.. (2013). Modified Array-based Comparative Genomic Hybridization Detects Cryptic and Variant PML-RARA Rearrangements in Acute Promyelocytic Leukemia Lacking Classic Translocations. Diagnostic Molecular Pathology. 22(1). 10–21. 6 indexed citations

15.

Gruver, Aaron M., Mahul B. Amin, Daniel Luthringer, et al.. (2012). Selective Immunohistochemical Markers to Distinguish Between Metastatic High-Grade Urothelial Carcinoma and Primary Poorly Differentiated Invasive Squamous Cell Carcinoma of the Lung. Archives of Pathology & Laboratory Medicine. 136(11). 1339–1346. 54 indexed citations

16.

Portier, Bryce P., Aaron M. Gruver, Eugen C. Minca, et al.. (2012). From morphologic to molecular: established and emerging molecular diagnostics for breast carcinoma. New Biotechnology. 29(6). 665–681. 5 indexed citations

17.

Gruver, Aaron M., et al.. (2010). Out of the darkness and into the light: bright field in situ hybridisation for delineation of ERBB2 (HER2) status in breast carcinoma. Journal of Clinical Pathology. 63(3). 210–219. 32 indexed citations

18.

Rajesh, Changanamkandath, Aaron M. Gruver, Venkatesha Basrur, & Douglas L. Pittman. (2009). The interaction profile of homologous recombination repair proteins RAD51C, RAD51D and XRCC2 as determined by proteomic analysis. PROTEOMICS. 9(16). 4071–4086. 20 indexed citations

19.

Gruver, Aaron M., et al.. (2009). Functional characterization and identification of mouse Rad51d splice variants. BMC Molecular Biology. 10(1). 27–27. 12 indexed citations

20.

Gruver, Aaron M., Changanamkandath Rajesh, K. Saravanan, et al.. (2005). The ATPase motif in RAD51D is required for resistance to DNA interstrand crosslinking agents and interaction with RAD51C. Mutagenesis. 20(6). 433–440. 27 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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