Val Millar

830 citations
19 papers · 633 · h-index 11

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Ion Channels and Receptors

Papers in

    • Cell Image Analysis Techniques 5
    • Pluripotent Stem Cells Research 1
    • RNA Interference and Gene Delivery 1
    • Melanoma and MAPK Pathways 1

Val Millar

18 papers receiving 616 citations

Peers

Val Millar
Comparison fields: 5 of 74
  • Immunology 186
  • Sensory Systems 39
  • Physiology 120
  • Small Animals 34
  • Biophysics 25
Replace Alessandra Rigamonti with:
Alessandra Rigamonti Italy
Rose Mathew United States
Ke‐Ping Xu United States
Mario Mairhofer Austria
Michael D. Gober United States
F. S. Southwick United States
Nam Soo Joo United States
Sophie Abélanet France
Torbj�rn Bengtsson Sweden
Michael H. Malone United States
Val Millar relative to Alessandra Rigamonti Italy Alessandra Rigamonti's profile →
Citations per field
00.5×2×4×6×7.8×
Alessandra Rigamonti · 1×
Citations per year

Countries citing papers authored by Val Millar

Since Specialization
Citations

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

Fields of papers citing papers by Val Millar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2019207
2 2019163
3 201565
4 202131
5 201428
6 202327
7 201516
8 201715
9 201815
10 202115
11 201812
12 202010
13 20209
14 20249
15 20174
16 20234
17 20242
18 20161
19 20220

About Val Millar

Val Millar is a scholar working on Biophysics, Molecular Biology, Small Animals, Immunology and Aging, having authored 19 papers that have together received 633 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (5 papers), Inhalation and Respiratory Drug Delivery (2 papers), Animal testing and alternatives (2 papers), Immunotoxicology and immune responses (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Pluripotent Stem Cells Research (1 paper), RNA Interference and Gene Delivery (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Immunology (186 citations), Sensory Systems (39 citations), Physiology (120 citations), Small Animals (34 citations) and Biophysics (25 citations). Val Millar has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Sian Kalinka, Daniel V. Ebner, Greg A. Weir, Andreas C. Themistocleous, Alex J Clark, Georgios Baskozos, Andrew R. Segerdahl, Liam J Peck, Irene Tracey and Iulia Blesneac. Their work appears in journals such as Nature Methods, Pharmaceutical Research, Neuron, Toxicological Sciences and Cancer Medicine.

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.

Explore authors with similar magnitude of impact