Rachel Miller

2.6k total citations
49 papers, 1.1k citations indexed

About

Rachel Miller is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Rachel Miller has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Epidemiology, 20 papers in Infectious Diseases and 11 papers in Surgery. Recurrent topics in Rachel Miller's work include Fungal Infections and Studies (14 papers), Antifungal resistance and susceptibility (13 papers) and Cytomegalovirus and herpesvirus research (11 papers). Rachel Miller is often cited by papers focused on Fungal Infections and Studies (14 papers), Antifungal resistance and susceptibility (13 papers) and Cytomegalovirus and herpesvirus research (11 papers). Rachel Miller collaborates with scholars based in United States, Australia and United Kingdom. Rachel Miller's co-authors include Maha Assi, Jennifer L. Saullo, Laurie A. Proia, Christopher P. DeSimone, Frederick R. Ueland, S. Goodrich, Lori J. Sokoll, Zhen Zhang, Iwona Podzielinski and John R. van Nagell and has published in prestigious journals such as Clinical Infectious Diseases, Antimicrobial Agents and Chemotherapy and Molecular Psychiatry.

In The Last Decade

Rachel Miller

44 papers receiving 1.0k citations

Peers

Rachel Miller
Comparison fields: 5 of 86
  • Epidemiology 694
  • Infectious Diseases 510
  • Surgery 221
  • Reproductive Medicine 137
  • Hepatology 130
Replace P. P. Thomas with:
P. P. Thomas India
K. McGowan United States
Déborah Konopnicki Belgium
François Bailly France
Nobuhiko Sasaki Japan
Julie Lajoie Canada
Andrea Gingelmaier Germany
Jamal Sarvari Iran
Archana Thomas United States
Enea Spada Italy
P. P. Thomas India View profile →
Citations per field, relative to Rachel Miller
Rachel Miller · 1×
Citations per year, relative to Rachel Miller
Rachel Miller · 1×

Countries citing papers authored by Rachel Miller

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Miller. A scholar is included among the top collaborators of Rachel 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 Rachel Miller. Rachel 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
# Work Indexed citations
1 0
2 0
3 2
4 7
5 6
6 10
7 5
8
Prolonged SARS-CoV-2 shedding in a person living with advanced HIV and diffuse large B-cell lymphoma
0
9 11
10 15
11 8
12 16
13
A Cluster of Lymphocytic Choriomeningitis Virus Infections Transmitted Through Organ Transplantation — Iowa, 2013
2
14 31
15 41
16 83
17 173
18 69
19 240
20 18

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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