Klarke M. Sample

487 citations
22 papers · 278 · h-index 9

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 3
    • Retinoids in leukemia and cellular processes 2
    • Acute Myeloid Leukemia Research 4
    • Hematopoietic Stem Cell Transplantation 2

Klarke M. Sample

22 papers receiving 272 citations

Peers

Klarke M. Sample
Comparison fields: 5 of 69
  • Cancer Research 43
  • Aging 5
  • Hematology 30
  • Molecular Biology 145
  • Immunology 43
Replace Monica Bhanot with:
Monica Bhanot United States
M. Natalie Davis United States
Sili Zou China
Stacey E. Wirt United States
Mingchao Ma United States
Jia‐Jye Lee United States
Valerie K. Salato United States
Gloria E. Marino Italy
Boyan Wang China
Dorothee Terhardt Germany
Klarke M. Sample relative to Monica Bhanot United States Monica Bhanot's profile →
Citations per field
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Monica Bhanot · 1×
Citations per year

Countries citing papers authored by Klarke M. Sample

Since Specialization
Citations

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

Fields of papers citing papers by Klarke M. Sample

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klarke M. Sample. 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 Klarke M. Sample. The network helps show where Klarke M. Sample may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201496
2 202220
3 202019
4 201919
5 202118
6 202314
7 202010
8 20209
9 20229
10 20218
11 20218
12 20236
13 20216
14 20196
15 20224
16 20234
17 20244
18 20254
19 20184
20 20224

About Klarke M. Sample

Klarke M. Sample is a scholar working on Molecular Biology, Hematology, Oncology, Cancer Research and Immunology, having authored 22 papers that have together received 278 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cancer Cells and Metastasis (2 papers), Cell Adhesion Molecules Research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (43 citations), Aging (5 citations), Hematology (30 citations), Molecular Biology (145 citations) and Immunology (43 citations). Klarke M. Sample has collaborated with scholars based in China, Canada and India. Frequent co-authors include Joseph W. Wragg, Helen M. McGettrick, Stuart Egginton, Roy Bicknell, Sarah M. Durant, Yaacov Ben‐David, Babu Gajendran, Eldad Zacksenhaus, Wuling Liu and Xiao‐Jiang Hao. Their work appears in journals such as BMC Cancer, Scientific Reports, Advances in experimental medicine and biology, Oncology Reports and Frontiers in Immunology.

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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