Eric P. Miller

28 papers receiving 1.1k citations

Peers

Eric P. Miller
Comparison fields: 5 of 113
  • Reproductive Medicine 112
  • Oncology 310
  • Cancer Research 150
  • Molecular Biology 507
  • Immunology 150
Replace Héctor R. Contreras with:
Héctor R. Contreras Chile
Raúl Cassia Argentina
Christian Wilhelm Germany
Jaime Matta Puerto Rico
Sebastián Giulianelli Argentina
Sachin M. Apte United States
Maike Schmidt Germany
Zhimin Shi China
Luc Paquet Canada
Seong-Jin Kim South Korea
Eric P. Miller relative to Héctor R. Contreras Chile Héctor R. Contreras's profile →
Citations per field
00.5×1.5×1.9×
Héctor R. Contreras · 1×
Citations per year

Countries citing papers authored by Eric P. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Eric P. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric P. Miller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric P. Miller Line = papers co-authored together Eric P. Miller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003150
2 2005120
3 2005114
4 199490
5 200652
6
BARX2 induces cadherin 6 expression and is a functional suppressor of ovarian cancer progression.
200151
7 199750
8 199846
9 200344
10 199739
11 199936
12
Identification of clinically relevant genes on chromosome 11 in a functional model of ovarian cancer tumor suppression.
200336
13 199233
14 201227
15 200426
16 201826
17 201720
18 201320
19 201520
20 198819

About Eric P. Miller

Eric P. Miller is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Oceanography, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Marine and coastal ecosystems (3 papers), Cell Adhesion Molecules Research (2 papers), Geochemistry and Elemental Analysis (2 papers), Immunotherapy and Immune Responses (2 papers), Plant Micronutrient Interactions and Effects (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Reproductive Medicine (112 citations), Oncology (310 citations), Cancer Research (150 citations), Molecular Biology (507 citations) and Immunology (150 citations). Eric P. Miller has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include John F. Smyth, Simon P. Langdon, William R. Miller, Genevieve J. Rabiasz, Carl J. Carrano, Peter Mullen, Grant C. Sellar, Hani Gabra, Euan A. Stronach and S. S. Lawrie. Their work appears in journals such as European Journal of Cancer, Metallomics, British Journal of Cancer, Journal of Experimental Botany and BioMetals.

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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