Woodrow E. Lomas

463 citations
10 papers · 331 · h-index 6

Impact in

    • HIV Research and Treatment
    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • Single-cell and spatial transcriptomics
    • Kruppel-like factors research

Papers in

    • Single-cell and spatial transcriptomics 6
    • RNA and protein synthesis mechanisms 2
    • Molecular Biology Techniques and Applications 2
    • Advanced biosensing and bioanalysis techniques 1
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2

Woodrow E. Lomas

8 papers receiving 317 citations

Peers

Woodrow E. Lomas
Comparison fields: 5 of 71
  • Virology 20
  • Molecular Biology 255
  • Genetics 72
  • Immunology 48
  • Oncology 56
Replace Aimee Stablewski with:
Aimee Stablewski United States
Nikol Simecek United Kingdom
Salomé Adam France
Dennis Zerby United States
Sonja Reidenbach Germany
Helga Petznek Austria
Virginie Mournetas France
Nicolas Strauli United States
Akihiro Minami Japan
Hirofumi Higuchi Japan
Woodrow E. Lomas relative to Aimee Stablewski United States Aimee Stablewski's profile →
Citations per field
00.5×1.5×2.1×
Aimee Stablewski · 1×
Citations per year

Countries citing papers authored by Woodrow E. Lomas

Since Specialization
Citations

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

Fields of papers citing papers by Woodrow E. Lomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2007219
2 201338
3 200920
4 201919
5 202117
6 201414
7 20213
8 20201
9 20240
10 20210

About Woodrow E. Lomas

Woodrow E. Lomas is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Virology and Oncology, having authored 10 papers that have together received 331 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Immune Cell Function and Interaction (3 papers), HIV Research and Treatment (2 papers), RNA and protein synthesis mechanisms (2 papers), Molecular Biology Techniques and Applications (2 papers), T-cell and B-cell Immunology (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Virology (20 citations), Molecular Biology (255 citations), Genetics (72 citations), Immunology (48 citations) and Oncology (56 citations). Woodrow E. Lomas has collaborated with scholars based in United States and Canada. Frequent co-authors include Yi Liu, Arie Abo, Kyung-Ah Kim, Walter D. Funk, Minke E. Binnerts, Michaël D. Lévy, Mei Zhou, Nenad Tomas̆ević, J.C. Williams and Marie-Claire Wagle. Their work appears in journals such as Cytometry Part A, The Journal of Immunology, Annual Review of Analytical Chemistry, Virology and Proceedings of the National Academy of Sciences.

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