Laura McBride

590 citations
18 papers · 341 · h-index 10

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis

Papers in

    • Multiple Myeloma Research and Treatments 16
    • Protein Degradation and Inhibitors 11
    • Histone Deacetylase Inhibitors Research 8
    • Amyloidosis: Diagnosis, Treatment, Outcomes 1

Laura McBride

18 papers receiving 330 citations

Peers

Laura McBride
Comparison fields: 5 of 40
  • Hematology 194
  • Oncology 103
  • Molecular Biology 264
  • Genetics 13
  • Pediatrics, Perinatology and Child Health 16
Replace Hanne Fredly with:
Hanne Fredly Norway
Simona Pandolfi Italy
Sandra Maria Dold Germany
Eli Gabayan United States
Oscar Lahoud United States
Heather C. Murray Australia
Aleksas Matvekas United States
Sandra Klingberg Australia
Faisal Basheer Pakistan
Shlomzion Aumann Israel
Laura McBride relative to Hanne Fredly Norway Hanne Fredly's profile →
Citations per field
00.5×1.5×2.1×
Hanne Fredly · 1×
Citations per year

Countries citing papers authored by Laura McBride

Since Specialization
Citations

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

Fields of papers citing papers by Laura McBride

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2008167
2 201530
3 200927
4 199724
5 200716
6 200911
7 201610
8 20109
9 20119
10 20119
11 20178
12 20194
13 20104
14 20164
15 20144
16 20122
17 20172
18 20151

About Laura McBride

Laura McBride is a scholar working on Hematology, Molecular Biology, Oncology, Infectious Diseases and Surgery, having authored 18 papers that have together received 341 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (16 papers), Protein Degradation and Inhibitors (11 papers), Histone Deacetylase Inhibitors Research (8 papers), HIV/AIDS drug development and treatment (2 papers), Cancer Treatment and Pharmacology (2 papers), Peptidase Inhibition and Analysis (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Hematology (194 citations), Oncology (103 citations), Molecular Biology (264 citations), Genetics (13 citations) and Pediatrics, Perinatology and Child Health (16 citations). Laura McBride has collaborated with scholars based in United States and Japan. Frequent co-authors include David S. Siegel, Kenneth C. Anderson, Linda Sun, Judy H. Chiao, Ivy Fearen, Paul G. Richardson, Kathleen Colson, Syed Rizvi, Justin L. Ricker and E. M. O' Reilly. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Clinical Journal of the American Society of Nephrology and Developmental Brain Research.

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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