Jennifer C. Miller

2.6k citations
36 papers · 2.1k indexed · 1 hit paper · h-index 25

Jennifer C. Miller

34 papers receiving 2.1k citations

Hit Papers

Deciphering the transcriptional network of the dendritic ...5802012202620162021100200300400500

Peers

Jennifer C. Miller
Comparison fields: 5 of 82
  • Parasitology 1.2k
  • Infectious Diseases 920
  • Immunology 1.0k
  • Insect Science 403
  • Ecology, Evolution, Behavior and Systematics 261
Replace Isabel Kinney Ferreira de Miranda Santos with:
Isabel Kinney Ferreira de Miranda Santos Brazil
R. Mark Wooten United States
Jan Kopecký Czechia
Cornelis P. J. Bekker Netherlands
Taissia G. Popova United States
Lisa Glickstein United States
C Muşeţeanu Germany
Tomoko Tajima Japan
R Wallich Germany
Star Dunham-Ems United States
Jennifer C. Miller relative to Isabel Kinney Ferreira de Miranda Santos Brazil Isabel Kinney Ferreira de Miranda Santos's profile →
Citations per field
00.5×1.5×2.2×
Isabel Kinney Ferreira de Miranda Santos · 1×
Citations per year

Countries citing papers authored by Jennifer C. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer C. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jennifer C. 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 Jennifer C. Miller Line = papers co-authored together Jennifer C. Miller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20220
3 202036
4 201710
5 20166
6 2012193
7 201235
8
Deciphering the transcriptional network of the dendritic cell lineagebreakdown →
2012580
9 200913
10 200828
11 200632
12 200628
13 2006131
14 200426
15 200357
16 200326
17 2002184
18 200157
19 200150
20 200047

About Jennifer C. Miller

Jennifer C. Miller is a scholar working on Parasitology, Infectious Diseases and Insect Science, having authored 36 papers that have together received 2.1k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (28 papers), Viral Infections and Vectors (21 papers), Insect symbiosis and bacterial influences (10 papers), Vector-Borne Animal Diseases (7 papers), Toxin Mechanisms and Immunotoxins (5 papers), Bartonella species infections research (3 papers), Immune Response and Inflammation (3 papers) and Dermatological diseases and infestations (3 papers). The work is most often cited by research in Parasitology (1.2k citations), Infectious Diseases (920 citations) and Immunology (1.0k citations). Jennifer C. Miller has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Brian Stevenson, Kelly Babb, Nazira El‐Hage, Miriam Mérad, Brian D. Brown, Julie Helft, Marylène Leboeuf, Daigo Hashimoto, Kate von Lackum and Melissa A. Hines. Their work appears in journals such as Journal of Clinical Investigation, Nature Immunology and The Journal of Immunology.

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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