Jeffrey E. Miller

933 total citations
26 papers, 589 citations indexed

About

Jeffrey E. Miller is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Jeffrey E. Miller has authored 26 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Hematology and 4 papers in Immunology. Recurrent topics in Jeffrey E. Miller's work include Acute Myeloid Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers) and T-cell and B-cell Immunology (3 papers). Jeffrey E. Miller is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers) and T-cell and B-cell Immunology (3 papers). Jeffrey E. Miller collaborates with scholars based in United States, United Kingdom and Norway. Jeffrey E. Miller's co-authors include Mitchell Kronenberg, Vesselin Vassilev, A. Raúl Castaño, Per A. Peterson, Shabnam Tangri, Hilda Holcombe, William D. Huse, Michael R. Jackson, Timothy T. Stenzel and Jason E. Hill and has published in prestigious journals such as Science, Journal of Clinical Oncology and Blood.

In The Last Decade

Jeffrey E. Miller

24 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey E. Miller United States 11 220 120 114 64 56 26 589
Zhiguo Li United States 14 149 0.7× 315 2.6× 189 1.7× 21 0.3× 82 1.5× 43 646
Patrick Bose Germany 9 156 0.7× 113 0.9× 95 0.8× 38 0.6× 14 0.3× 10 526
Ruiping Liu China 16 170 0.8× 346 2.9× 51 0.4× 32 0.5× 70 1.3× 57 800
Μαρία Παππά Greece 19 200 0.9× 171 1.4× 119 1.0× 9 0.1× 46 0.8× 82 930
Michael Bauer United States 14 50 0.2× 252 2.1× 167 1.5× 38 0.6× 86 1.5× 67 660
Nan Chen China 13 72 0.3× 228 1.9× 53 0.5× 30 0.5× 115 2.1× 57 624
Mingxuan Zhang China 13 82 0.4× 268 2.2× 36 0.3× 26 0.4× 97 1.7× 40 570
Trond Hellem Bø Norway 13 114 0.5× 626 5.2× 58 0.5× 105 1.6× 123 2.2× 19 991
Jean Dufer France 15 99 0.5× 374 3.1× 47 0.4× 17 0.3× 186 3.3× 60 693

Countries citing papers authored by Jeffrey E. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey E. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey E. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey E. Miller. A scholar is included among the top collaborators of Jeffrey E. Miller 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 Jeffrey E. Miller. Jeffrey E. Miller 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.
Sánchez, P., et al.. (2024). A Tumor-Only Whole Genome Sequencing Pipeline for the Development of Molecular Pathology Assays for AML. Blood. 144(Supplement 1). 7479–7479.
2.
Chang, Ken C. N., Maha Karnoub, Li Liu, et al.. (2023). Quantum-First (Q-F): Clinical Bridging Study for FMS-like Tyrosine Kinase 3-Internal Tandem Duplication ( FLT3-ITD) Companion Diagnostic Development. Blood. 142(Supplement 1). 4260–4260. 1 indexed citations
3.
Medina, Alejandro, Cristina Jiménez, Noemí Puig, et al.. (2021). Interlaboratory Analytical Validation of a Next-Generation Sequencing Strategy for Clonotypic Assessment and Minimal Residual Disease Monitoring in Multiple Myeloma. Archives of Pathology & Laboratory Medicine. 146(7). 862–871. 5 indexed citations
4.
Gerdisch, Marc, H. Edward Garrett, Mubashir Mumtaz, et al.. (2021). B-PO03-157 PROPHYLACTIC LEFT ATRIAL APPENDAGE EXCLUSION IN PATIENTS UNDERGOING CARDIAC SURGERY: RESULTS OF PROSPECTIVE, MULTICENTER, RANDOMIZED ATLAS TRIAL. Heart Rhythm. 18(8). S253–S253. 1 indexed citations
5.
Rustad, Even H., Malin Hultcrantz, Venkata Yellapantula, et al.. (2019). Baseline identification of clonal V(D)J sequences for DNA-based minimal residual disease detection in multiple myeloma. PLoS ONE. 14(3). e0211600–e0211600. 22 indexed citations
6.
Levis, Mark J., Alexander E. Perl, Jessica K. Altman, et al.. (2018). A next-generation sequencing–based assay for minimal residual disease assessment in AML patients with FLT3-ITD mutations. Blood Advances. 2(8). 825–831. 93 indexed citations
7.
Levis, Mark J., et al.. (2016). Detection of minimal residual disease in FLT3/ITD AML.. Journal of Clinical Oncology. 34(15_suppl). 7015–7015. 1 indexed citations
8.
Huang, Ying, Kasey R. Hutt, Jeffrey E. Miller, et al.. (2014). Somatic Hypermutation and V-J Gene Usage for CLL Prognosis: Evaluating Data from Miseq NGS Vs PCR-Sanger Sequencing Approaches. Blood. 124(21). 3317–3317. 1 indexed citations
9.
Miller, Jeffrey E., et al.. (2003). On the Possibility of Detecting Low Barrier Hydrogen Bonds with Kinetic Measurements. Journal of Chemical Information and Computer Sciences. 43(2). 554–559. 1 indexed citations
10.
Miller, Jeffrey E., et al.. (2003). On the Possibility of Using UV Spectroscopy as a Measure of the Low-Barrier Hydrogen Bond. Structural Chemistry. 14(6). 605–616. 4 indexed citations
11.
Tang, Dong, et al.. (1998). MEADEP: a dependability evaluation tool for engineers. IEEE Transactions on Reliability. 47(4). 443–450. 16 indexed citations
12.
Tangri, Shabnam, Hilda Holcombe, A. Raúl Castaño, et al.. (1996). Antigen‐presenting Function of the Mouse CD1 Moleculea. Annals of the New York Academy of Sciences. 778(1). 288–296. 10 indexed citations
13.
Cheroutre, Hilde, Hilda Holcombe, Shabnam Tangri, et al.. (1995). Antigen‐presenting Function of the TL Antigen and Mouse CD1 Molecules. Immunological Reviews. 147(1). 31–52. 22 indexed citations
14.
Kronenberg, Mitchell, Shabnam Tangri, Jeffrey E. Miller, et al.. (1995). CD1 molecules expressed by enterocytes present peptides distinct from other class I antigen presenting molecules. Gastroenterology. 108(4). A852–A852. 1 indexed citations
15.
Miller, Jeffrey E., et al.. (1988). Accounting for maintenance in a computer memory reliability prediction model. Quality and Reliability Engineering International. 4(1). 67–72. 1 indexed citations
16.
Varki, Nissi, et al.. (1987). Microscopic metastasis of a human lung carcinoma cell line in athymic nude mice: Isolation of a metastatic variant. International Journal of Cancer. 40(1). 46–52. 16 indexed citations
17.
Barnard, R. J., et al.. (1987). Effects of a low-fat, low-cholesterol diet on serum lipids, platelet aggregation and thromboxane formation. Prostaglandins Leukotrienes and Medicine. 26(3). 241–252. 9 indexed citations
18.
Winter, T.C., et al.. (1984). Synopsis of ground-water and surface-water resources of North Dakota. Antarctica A Keystone in a Changing World. 20 indexed citations
19.
Miller, Jeffrey E., et al.. (1982). Changes in flood response of the Red River of the North Basin, North Dakota-Minnesota. Antarctica A Keystone in a Changing World. 15 indexed citations
20.
Miller, Jeffrey E., et al.. (1982). METASTATIC CALCIFICATION OF THE CHOROID IN A PATIENT WITH PRIMARY HYPERPARATHYROIDISM. Retina. 2(2). 76–79. 22 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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