David Kramer

1.5k citations
16 papers · 1.2k · h-index 12

Impact in

Papers in

    • Muscle Physiology and Disorders 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Peroxisome Proliferator-Activated Receptors 2
    • Metabolism, Diabetes, and Cancer 2
    • Adipose Tissue and Metabolism 4

David Kramer

16 papers receiving 1.2k citations

Peers

David Kramer
Comparison fields: 5 of 92
  • Physiology 379
  • Cardiology and Cardiovascular Medicine 199
  • Molecular Biology 527
  • Endocrinology, Diabetes and Metabolism 112
  • Epidemiology 208
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Citations per field
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Citations per year

Countries citing papers authored by David Kramer

Since Specialization
Citations

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

Fields of papers citing papers by David Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2008385
2 2009203
3 2007152
4 2005116
5 200698
6 200688
7 200446
8 200844
9 200231
10 200822
11 199821
12 200515
13
Survival of patients transplanted with alcoholic hepatitis plus cirrhosis as compared with those with cirrhosis alone.
19934
14 20094
15
IMP2 increases mouse skeletal muscle mass and voluntary activity by enhancing autocrine IGF2 production and optimizing muscle metabolism.
20193
16 19952

About David Kramer

David Kramer is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Hematology and Hepatology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Muscle Physiology and Disorders (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Quinazolinone synthesis and applications (1 paper). The work is most often cited by research in Physiology (379 citations), Cardiology and Cardiovascular Medicine (199 citations), Molecular Biology (527 citations), Endocrinology, Diabetes and Metabolism (112 citations) and Epidemiology (208 citations). David Kramer has collaborated with scholars based in Sweden, United States and Netherlands. Frequent co-authors include Anna Krook, Lucía García‐Guerra, Margarita Lorenzo, Iria Nieto-Vázquez, Sonia Fernández‐Veledo, Rocío Vila‐Bedmar, Lubna Al‐Khalili, Juleen Rae Zierath, Bruno Guigas and Pablo M. García-Rovés. Their work appears in journals such as Clinical and Translational Science, Archives of Physiology and Biochemistry, Journal of Glaucoma, Leukemia and Diabetes.

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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