David E. Kram

1k citations
30 papers · 740 · h-index 12

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
    • Cancer Genomics and Diagnostics
    • Carcinogens and Genotoxicity Assessment

Papers in

    • Glioma Diagnosis and Treatment 15
    • COVID-19 and healthcare impacts 2
    • Cancer Immunotherapy and Biomarkers 1

David E. Kram

26 papers receiving 729 citations

Peers

David E. Kram
Comparison fields: 5 of 63
  • Genetics 382
  • Cancer Research 73
  • Spectroscopy 51
  • Aging 5
  • Oncology 67
Replace Weiqing Wan with:
Weiqing Wan China
Sébastien Bougnaud Norway
Huishan Zhu China
Ludivine Le Dret France
Johanna Buchroithner Austria
Frank J.G. Scherpen Netherlands
Laura M. Richards Canada
Cecilia C. Krona Sweden
Daan J. Kloosterman Netherlands
Bjørn Anton Graff Norway
David E. Kram relative to Weiqing Wan China Weiqing Wan's profile →
Citations per field
00.5×1.5×
Weiqing Wan · 1×
Citations per year

Countries citing papers authored by David E. Kram

Since Specialization
Citations

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

Fields of papers citing papers by David E. Kram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Kram. 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 David E. Kram. The network helps show where David E. Kram may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020239
2 2020203
3 202255
4 201829
5 202029
6 202024
7 197823
8 202323
9 202218
10 197615
11 201915
12 202513
13 20208
14 20107
15 20167
16 20187
17 20195
18 20234
19 20234
20 19773

About David E. Kram

David E. Kram is a scholar working on Genetics, Oncology, Public Health, Environmental and Occupational Health, Biophysics and Molecular Biology, having authored 30 papers that have together received 740 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (15 papers), COVID-19 and healthcare impacts (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), Sleep and Wakefulness Research (1 paper), Carcinogens and Genotoxicity Assessment (1 paper), Vaccine Coverage and Hesitancy (1 paper) and Kawasaki Disease and Coronary Complications (1 paper). The work is most often cited by research in Genetics (382 citations), Cancer Research (73 citations), Spectroscopy (51 citations), Aging (5 citations) and Oncology (67 citations). David E. Kram has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Norman W. Klein, Hemamylammal Sivakumar, Aleksander Skardal, Roy Ervin Strowd III, Mahesh Devarasetty, Soumen Khatua, Shawn Hingtgen, Andrew Satterlee, Ziad A. Khatib and Heinz Herrmann. Their work appears in journals such as The Oncologist, Pediatric Blood & Cancer, PLoS ONE, Experimental Cell Research and Molecular Cancer Therapeutics.

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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