Klarke M. Sample

503 citations
22 papers · 295 · h-index 9

Impact in

Papers in

    • Retinoids in leukemia and cellular processes 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Ubiquitin and proteasome pathways 1
    • Acute Myeloid Leukemia Research 3

Klarke M. Sample

22 papers receiving 287 citations

Peers

Klarke M. Sample
Comparison fields: 5 of 65
  • Aging 5
  • Cancer Research 38
  • Hematology 25
  • Immunology and Allergy 12
  • Molecular Biology 134
Replace Scott S. Kemp with:
Scott S. Kemp United States
Sili Zou China
Genmao Cao China
Weizhen Jia Japan
Michael Shi United States
Mingchao Ma United States
Samir Sissaoui United Kingdom
Boyan Wang China
Dorothee Terhardt Germany
Valerie K. Salato United States
Klarke M. Sample relative to Scott S. Kemp United States Scott S. Kemp's profile →
Citations per field
00.5×
Scott S. Kemp · 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 201499
2 202222
3 202019
4 202119
5 201919
6 202316
7 202211
8 202010
9 20209
10 20218
11 20218
12 20236
13 20256
14 20236
15 20216
16 20196
17 20245
18 20225
19 20184
20 20224

About Klarke M. Sample

Klarke M. Sample is a scholar working on Molecular Biology, Hematology, Oncology, Cancer Research and Genetics, having authored 22 papers that have together received 295 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Cancer-related Molecular Pathways (2 papers), Cancer Cells and Metastasis (2 papers), Retinoids in leukemia and cellular processes (2 papers), Cell Adhesion Molecules Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Aging (5 citations), Cancer Research (38 citations), Hematology (25 citations), Immunology and Allergy (12 citations) and Molecular Biology (134 citations). Klarke M. Sample has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Roy Bicknell, Stuart Egginton, Joseph W. Wragg, Helen M. McGettrick, 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, Signal Transduction and Targeted Therapy, Advances in experimental medicine and biology, Biochimie and PeerJ.

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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