Kim E. Dzobo

414 citations
13 papers · 281 · h-index 7

Impact in

    • Atherosclerosis and Cardiovascular Diseases
    • Lipoproteins and Cardiovascular Health

Papers in

    • Atherosclerosis and Cardiovascular Diseases 7
    • Immune cells in cancer 2
    • Lipoproteins and Cardiovascular Health 5

Kim E. Dzobo

13 papers receiving 276 citations

Peers

Kim E. Dzobo
Comparison fields: 5 of 62
  • Immunology 81
  • Surgery 159
  • Cardiology and Cardiovascular Medicine 75
  • Cancer Research 43
  • Endocrinology, Diabetes and Metabolism 39
Replace Amaia García-Peña with:
Amaia García-Peña Spain
Alicia Gainza Spain
Feiming Ye China
Ana Persson Sweden
Sohei Ito Japan
Reva Schneider United States
Kirsten Thiele Germany
Christopher Longoria United States
Katharina M. Scheurlen United States
Panyun Wu China
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Citations per field
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Amaia García-Peña · 1×
Citations per year

Countries citing papers authored by Kim E. Dzobo

Since Specialization
Citations

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

Fields of papers citing papers by Kim E. Dzobo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202077
2 202263
3 202031
4 202428
5 202025
6 202118
7 202015
8 20216
9 20246
10 20225
11 20205
12 20251
13 20251

About Kim E. Dzobo

Kim E. Dzobo is a scholar working on Immunology, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 13 papers that have together received 281 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (7 papers), Lipoproteins and Cardiovascular Health (5 papers), Protein Degradation and Inhibitors (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Immune cells in cancer (2 papers), Single-cell and spatial transcriptomics (1 paper) and Neuroscience of respiration and sleep (1 paper). The work is most often cited by research in Immunology (81 citations), Surgery (159 citations), Cardiology and Cardiovascular Medicine (75 citations), Cancer Research (43 citations) and Endocrinology, Diabetes and Metabolism (39 citations). Kim E. Dzobo has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Jeffrey Kroon, Erik S.G. Stroes, Nick S. Nurmohamed, Jordan M Kraaijenhof, Menno P.J. de Winther, Johan G. Schnitzler, Renate M. Hoogeveen, Sotirios Tsimikas, Koen H.M. Prange and Lotte C.A. Stiekema. Their work appears in journals such as Atherosclerosis, Matrix Biology, Clinical Epigenetics, Current Opinion in Lipidology and European Heart Journal.

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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