Lauren E. Black

1.4k citations
12 papers · 302 · h-index 9

Impact in

    • Animal testing and alternatives
    • Immunotoxicology and immune responses
    • Biosimilars and Bioanalytical Methods

Papers in

    • Biosimilars and Bioanalytical Methods 4
    • Immunotoxicology and immune responses 4
    • T-cell and B-cell Immunology 1
    • Animal testing and alternatives 4

Lauren E. Black

12 papers receiving 280 citations

Peers

Lauren E. Black
Comparison fields: 5 of 74
  • Small Animals 78
  • Immunology 103
  • Computational Theory and Mathematics 36
  • Radiology, Nuclear Medicine and Imaging 41
  • Oncology 35
Replace Paul Kearney with:
Paul Kearney United States
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Hendrik Reuter Germany
Jessica Löffler Germany
Anita J. Nelsen United States
Donald W. Mann United States
Nina Senutovitch United States
S. Ramalingam India
Jennifer Baysarowich United States
Timothy J. Stein United States
Lauren E. Black relative to Paul Kearney United States Paul Kearney's profile →
Citations per field
00.5×7.2×
Paul Kearney · 1×
Citations per year

Countries citing papers authored by Lauren E. Black

Since Specialization
Citations

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

Fields of papers citing papers by Lauren E. Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2013103
2 201749
3 201133
4 199433
5 201227
6 199317
7 200313
8 20119
9 20008
10 20224
11 20003
12 19993

About Lauren E. Black

Lauren E. Black is a scholar working on Immunology, Small Animals, Molecular Biology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 302 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (4 papers), Immunotoxicology and immune responses (4 papers), Animal testing and alternatives (4 papers), DNA and Nucleic Acid Chemistry (2 papers), Computational Drug Discovery Methods (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Neurogenetic and Muscular Disorders Research (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Small Animals (78 citations), Immunology (103 citations), Computational Theory and Mathematics (36 citations), Radiology, Nuclear Medicine and Imaging (41 citations) and Oncology (35 citations). Lauren E. Black has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Kathryn Chapman, Jessica A. Couch, Alexander Jordan, Sean C. Gehen, Henry H. Holzgrefe, Joy Cavagnaro, Patrick B. Lappin, Marilyn J. Brown, Alan M. Hoberman and Lewis B. Kinter. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Human & Experimental Toxicology, Toxicologic Pathology, mAbs and Expert Opinion on Drug Discovery.

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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