Laura Stampleman

736 citations
17 papers · 229 · h-index 7

Impact in

  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 10%
    • Multiple Myeloma Research and Treatments

Papers in

    • Multiple Myeloma Research and Treatments 13
    • Chronic Myeloid Leukemia Treatments 3
    • Protein Degradation and Inhibitors 6

Laura Stampleman

17 papers receiving 225 citations

Peers

Laura Stampleman
Comparison fields: 5 of 34
  • Genetics 113
  • Hematology 105
  • Pathology and Forensic Medicine 85
  • Oncology 94
  • Molecular Biology 115
Replace Alexandra Savell with:
Alexandra Savell United States
Habte Yimer United States
Jodi Carey United States
Elisa Genuardi Italy
Anne Banos France
Neil Came Australia
Helen Dignum United Kingdom
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Juan Garcia‐Talavera Spain
Monica Testoni Switzerland
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Citations per field
00.5×
Alexandra Savell · 1×
Citations per year

Countries citing papers authored by Laura Stampleman

Since Specialization
Citations

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

Fields of papers citing papers by Laura Stampleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201890
2 201455
3 202025
4 201615
5 198710
6 20179
7 20176
8 20154
9 20183
10 20172
11 20152
12 20132
13 20152
14 20141
15 20191
16 20121
17 20181

About Laura Stampleman

Laura Stampleman is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Infectious Diseases, having authored 17 papers that have together received 229 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (13 papers), Protein Degradation and Inhibitors (6 papers), Cancer Treatment and Pharmacology (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Genetics (113 citations), Hematology (105 citations), Pathology and Forensic Medicine (85 citations), Oncology (94 citations) and Molecular Biology (115 citations). Laura Stampleman has collaborated with scholars based in United States, France and China. Frequent co-authors include Robert Vescio, Shahrooz Eshaghian, James R. Berenson, Regina A. Swift, Jennifer R. Brown, David C. Fisher, Alberto Bessudo, Peter Sportelli, Caron A. Jacobson and Karen Francoeur. Their work appears in journals such as Journal of Clinical Oncology, Blood, Clinical Cancer Research, British Journal of Haematology and Leukemia.

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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