Eric Burks

13.4k total citations
46 papers, 603 citations indexed

About

Eric Burks is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Eric Burks has authored 46 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 16 papers in Molecular Biology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Eric Burks's work include Lung Cancer Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Lung Cancer Treatments and Mutations (7 papers). Eric Burks is often cited by papers focused on Lung Cancer Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Lung Cancer Treatments and Mutations (7 papers). Eric Burks collaborates with scholars based in United States, Germany and France. Eric Burks's co-authors include Thomas P. Loughran, Jennifer Beane, Margrit Betke, Vijaya B. Kolachalama, Yi Zheng, J. Mark Sloan, Shayna Sarosiek, Travis Sullivan, Richard A. Larson and Kimberly Rieger‐Christ and has published in prestigious journals such as Blood, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Eric Burks

39 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Burks United States 10 147 106 94 93 91 46 603
Karima Mrad Tunisia 15 133 0.9× 117 1.1× 90 1.0× 25 0.3× 207 2.3× 92 724
Sudhir Perincheri United States 11 256 1.7× 52 0.5× 54 0.6× 100 1.1× 67 0.7× 27 541
Marijke R. van Dijk Netherlands 12 75 0.5× 43 0.4× 28 0.3× 45 0.5× 77 0.8× 30 491
Paolo Peterlongo Italy 13 450 3.1× 206 1.9× 103 1.1× 86 0.9× 231 2.5× 31 1.0k
Roos J. Leguit Netherlands 19 163 1.1× 101 1.0× 124 1.3× 14 0.2× 214 2.4× 43 887
Khaled Ben Romdhane Tunisia 15 151 1.0× 24 0.2× 92 1.0× 34 0.4× 199 2.2× 92 673
Swapnil Rane India 16 108 0.7× 26 0.2× 139 1.5× 43 0.5× 182 2.0× 82 853
Diana O. Treaba United States 14 179 1.2× 49 0.5× 147 1.6× 26 0.3× 394 4.3× 51 774
Stephanie G. Craig United Kingdom 17 257 1.7× 103 1.0× 133 1.4× 23 0.2× 314 3.5× 49 796
Magda Zanelli Italy 16 87 0.6× 109 1.0× 179 1.9× 59 0.6× 338 3.7× 127 845

Countries citing papers authored by Eric Burks

Since Specialization
Citations

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

Fields of papers citing papers by Eric Burks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Burks

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Burks. A scholar is included among the top collaborators of Eric Burks 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 Eric Burks. Eric Burks 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.
Staron, Andrew, Eric Burks, & Vaishali Sanchorawala. (2025). Sustained measurable residual disease (MRD) in light chain amyloidosis: The added value of durability over depth alone. Blood. 146(Supplement 1). 695–695.
2.
Prokaeva, Tatiana, Shobini Jayaraman, Elena S. Klimtchuk, et al.. (2025). An unusual phenotype of hereditary AApoAI amyloidosis caused by a novel Asp20Tyr substitution is linked to pH-dependent aggregation of apolipoprotein A-I. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1871(5). 167820–167820.
3.
Zheng, Yi, Mary E. Reid, Sarah A. Mazzilli, et al.. (2024). Graph Perceiver Network for Lung Tumor and Bronchial Premalignant Lesion Stratification from Histopathology. American Journal Of Pathology. 194(7). 1285–1293. 4 indexed citations
4.
5.
Burks, Eric, Travis Sullivan, & Kimberly Rieger‐Christ. (2024). Pulmonary adenocarcinoma of low malignant potential defines indolent NSCLC associated with overdiagnosis in the national lung screening trial. Cancer Biomarkers. 42(1). CBM230452–CBM230452.
6.
Sullivan, Travis, Hanqiao Liu, Xiaohui Xiao, et al.. (2023). Abstract 5632: Evaluating a novel molecular biomarker of angioinvasive lung adenocarcinoma with spatial transcriptomics. Cancer Research. 83(7_Supplement). 5632–5632. 1 indexed citations
7.
Staron, Andrew, Eric Burks, Raphaël Szalat, & Vaishali Sanchorawala. (2023). Prospective Evaluation of Measurable Residual Disease (MRD) and Sustainability of the Response in Patients with Systemic AL Amyloidosis Treated with Daratumumab. Blood. 142(Supplement 1). 3405–3405. 1 indexed citations
8.
Prokaeva, Tatiana, Elena S. Klimtchuk, Brian Spencer, et al.. (2022). An additive destabilising effect of compound T60I and V122I substitutions in ATTRv amyloidosis. Amyloid. 30(2). 141–152. 2 indexed citations
9.
Sullivan, Travis, et al.. (2022). Vascular Invasion Predicts Recurrence in Stage IA2-IB Lung Adenocarcinoma but not Squamous Cell Carcinoma. Clinical Lung Cancer. 24(3). e126–e133. 4 indexed citations
10.
11.
Steiling, Katrina, et al.. (2021). Risk Factors for Lung Cancer in an Underrepresented Safety-Net Screening Cohort. Clinical Lung Cancer. 23(2). e165–e170. 2 indexed citations
12.
13.
Steiling, Katrina, et al.. (2021). Lung Cancer Risk in Suspicious Lung Nodules With Negative Positron Emission Tomography. The Annals of Thoracic Surgery. 113(6). 1821–1826. 2 indexed citations
14.
Zhao, Qing, Yachana Kataria, Shayna Sarosiek, et al.. (2020). SARS-CoV-2 Infection–Associated Hemophagocytic Lymphohistiocytosis. American Journal of Clinical Pathology. 154(4). 466–474. 90 indexed citations
15.
Sullivan, Travis, Luke E. Sebel, David Canes, et al.. (2020). MicroRNAs MiR-15a and MiR-26a cooperatively regulate O-GlcNAc-transferase to control proliferation in clear cell renal cell carcinoma. Cancer Biomarkers. 30(3). 343–351. 7 indexed citations
16.
Kowalik, Casey G., Travis Sullivan, John M. Dugan, et al.. (2017). Profiling micro RNA from nephrectomy and biopsy specimens: predictors of progression and survival in clear cell renal cell carcinoma. British Journal of Urology. 120(3). 428–440. 28 indexed citations
17.
Ricciardi, Rocco, et al.. (2014). Is There a Gain in Chromosome 3q in the Pathway to Anal Cancer?. Diseases of the Colon & Rectum. 57(10). 1183–1187. 6 indexed citations
18.
Burks, Eric & Thomas P. Loughran. (2006). Pathogenesis of neutropenia in large granular lymphocyte leukemia and Felty syndrome. Blood Reviews. 20(5). 245–266. 75 indexed citations
19.
Reichard, Kaaren K., Eric Burks, Carla S. Wilson, et al.. (2005). CD4(+) CD56(+) Lineage-Negative Malignancies Are Rare Tumors of Plasmacytoid Dendritic Cells. The American Journal of Surgical Pathology. 29(10). 1274–1283. 58 indexed citations
20.
Sillerud, Laurel O., et al.. (2003). NMR‐derived model of interconverting conformations of an ICAM‐1 inhibitory cyclic nonapeptide. Journal of Peptide Research. 62(3). 97–116. 7 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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