Kimberly Cramer

584 citations
8 papers · 189 · h-index 7

Impact in

  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • DNA Repair Mechanisms 1
    • DNA and Nucleic Acid Chemistry 1
    • Chronic Myeloid Leukemia Treatments 3
    • Acute Myeloid Leukemia Research 1

Kimberly Cramer

8 papers receiving 185 citations

Peers

Kimberly Cramer
Comparison fields: 5 of 46
  • Hematology 81
  • Genetics 48
  • Structural Biology 4
  • Biophysics 15
  • Rheumatology 27
Replace Mario Nicola with:
Mario Nicola Australia
Anna V. Senina United States
Carine Gervais France
Jens Kalchschmidt United Kingdom
Jenna Fernandez United States
Yasushi Miyazaki Japan
Desiree Davison United States
Khrystyna North United States
Ernesta Dammassa Italy
Yuki Kagiyama Japan
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Citations per field
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Citations per year

Countries citing papers authored by Kimberly Cramer

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Cramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 200878
2 201046
3 197819
4 201916
5 201814
6 20229
7 20246
8 20111

About Kimberly Cramer

Kimberly Cramer is a scholar working on Molecular Biology, Hematology, Public Health, Environmental and Occupational Health, Biophysics and Infectious Diseases, having authored 8 papers that have together received 189 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Cell Image Analysis Techniques (2 papers), Acute Myeloid Leukemia Research (1 paper), DNA Repair Mechanisms (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Hematology (81 citations), Genetics (48 citations), Structural Biology (4 citations), Biophysics (15 citations) and Rheumatology (27 citations). Kimberly Cramer has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Artur Słupianek, Tomasz Skórski, Margaret Nieborowska-Skorska, Connie J. Eaves, Walter E. Aulitzky, Mateusz Koptyra, Jae Yen Shin, Clark Distelhorst, J C Rogers and Dariusz Pytel. Their work appears in journals such as Cancer Research, Blood, Journal of Clinical Investigation, ACS Nano and International Journal of Molecular Sciences.

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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