David Kramer

1.4k total citations
16 papers, 1.2k citations indexed

About

David Kramer is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, David Kramer has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in David Kramer's work include Adipose Tissue and Metabolism (5 papers), Muscle Physiology and Disorders (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). David Kramer is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Muscle Physiology and Disorders (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). David Kramer collaborates with scholars based in Sweden, United States and Netherlands. David Kramer's co-authors include Anna Krook, Sonia Fernández‐Veledo, Margarita Lorenzo, Iria Nieto-Vázquez, Rocío Vila‐Bedmar, Lucía García‐Guerra, Lubna Al‐Khalili, Ying Leng, Pablo M. García-Rovés and Bruno Guigas and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Diabetes Care.

In The Last Decade

David Kramer

16 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Kramer Sweden	12	553	425	245	206	137	16	1.2k
Sherry Weng United States	8	468 0.8×	319 0.8×	260 1.1×	142 0.7×	136 1.0×	8	1.3k
Vı́ctor Cortés Chile	20	524 0.9×	384 0.9×	268 1.1×	119 0.6×	136 1.0×	50	1.3k
Yuan‐Tsong Chen United States	15	501 0.9×	458 1.1×	142 0.6×	103 0.5×	138 1.0×	25	1.4k
James P. Stice United States	15	619 1.1×	170 0.4×	123 0.5×	189 0.9×	125 0.9×	20	1.1k
Naomi Hosogai Japan	8	344 0.6×	690 1.6×	592 2.4×	256 1.2×	95 0.7×	11	1.2k
James M. Tauras United States	7	569 1.0×	357 0.8×	111 0.5×	228 1.1×	210 1.5×	24	1.4k
Michael J. Kraakman Australia	17	456 0.8×	419 1.0×	546 2.2×	147 0.7×	202 1.5×	29	1.5k
Timothy S. McMillen United States	20	446 0.8×	275 0.6×	250 1.0×	180 0.9×	108 0.8×	37	1.1k
Mahmoud Abdellatif Austria	18	384 0.7×	379 0.9×	297 1.2×	263 1.3×	69 0.5×	47	1.1k
José O. Alemán United States	16	572 1.0×	383 0.9×	368 1.5×	135 0.7×	315 2.3×	46	1.4k

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-authorship network of co-authors of David Kramer

This figure shows the co-authorship network connecting the top 25 collaborators of David Kramer. A scholar is included among the top collaborators of David Kramer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Kramer. David Kramer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Regué, Laura, Fei Ji, Daniel Flicker, et al.. (2019). IMP2 increases mouse skeletal muscle mass and voluntary activity by enhancing autocrine IGF2 production and optimizing muscle metabolism.. Molecular and Cellular Biology. 3 indexed citations

Kerkelä, Risto, Kathleen C. Woulfe, Jean‐Bernard Durand, et al.. (2009). Sunitinib‐Induced Cardiotoxicity Is Mediated by Off‐Target Inhibition of AMP‐Activated Protein Kinase. Clinical and Translational Science. 2(1). 15–25. 187 indexed citations

Kerkelä, Risto, Kathleen C. Woulfe, Jean‐Bernard Durand, et al.. (2009). Sunitinib-Induced Cardiotoxicity Is Mediated by Off-Target Inhibition of AMP-Activated Protein Kinase. Clinical and Translational Science. 4 indexed citations

Nieto-Vázquez, Iria, Sonia Fernández‐Veledo, David Kramer, et al.. (2008). Insulin resistance associated to obesity: the link TNF-alpha. Archives of Physiology and Biochemistry. 114(3). 183–194. 355 indexed citations

Rosenstock, Julio, Richard M. Bergenstal, Ralph A. DeFronzo, et al.. (2008). Efficacy and Safety of Technosphere Inhaled Insulin Compared With Technosphere Powder Placebo in Insulin-Naive Type 2 Diabetes Suboptimally Controlled With Oral Agents. Diabetes Care. 31(11). 2177–2182. 39 indexed citations

Tack, Cees J., V. Christov, Bastiaan E. de Galan, et al.. (2008). Randomized Forced Titration to Different Doses of Technosphere® Insulin Demonstrates Reduction in Postprandial Glucose Excursions and Hemoglobin A1c in Patients with Type 2 Diabetes. Journal of Diabetes Science and Technology. 2(1). 47–57. 19 indexed citations

Kramer, David, Lubna Al‐Khalili, Bruno Guigas, et al.. (2007). Role of AMP Kinase and PPARδ in the Regulation of Lipid and Glucose Metabolism in Human Skeletal Muscle. Journal of Biological Chemistry. 282(27). 19313–19320. 147 indexed citations

Fritz, Tomas, David Kramer, Håkan Karlsson, et al.. (2006). Low‐intensity exercise increases skeletal muscle protein expression of PPARδ and UCP3 in type 2 diabetic patients. Diabetes/Metabolism Research and Reviews. 22(6). 492–498. 92 indexed citations

Kramer, David, Jessica Norrbom, Eva Jansson, et al.. (2006). Human skeletal muscle fibre type variations correlate with PPARα, PPARδ and PGC‐1α mRNA. Acta Physiologica. 188(3-4). 207–216. 87 indexed citations

10.

Kramer, David, et al.. (2005). Effect of Serum Replacement with Plysate on Cell Growth and Metabolismin Primary Cultures of Human Skeletal Muscle. Cytotechnology. 48(1-3). 89–95. 15 indexed citations

11.

Kramer, David, Lubna Al‐Khalili, Sebastio Perrini, et al.. (2005). Direct Activation of Glucose Transport in Primary Human Myotubes After Activation of Peroxisome Proliferator–Activated Receptor δ. Diabetes. 54(4). 1157–1163. 113 indexed citations

12.

Al‐Khalili, Lubna, David Kramer, Per Wretenberg, & Anna Krook. (2004). Human skeletal muscle cell differentiation is associated with changes in myogenic markers and enhanced insulin‐mediated MAPK and PKB phosphorylation. Acta Physiologica Scandinavica. 180(4). 395–403. 46 indexed citations

13.

Teller, Steffen, David Kramer, Donald Small, et al.. (2002). Bis(1H-2-indolyl)-1-methanones as inhibitors of the hematopoietic tyrosine kinase Flt3. Leukemia. 16(8). 1528–1534. 28 indexed citations

14.

Pugsley, Michael K., David A. Saint, Eric Hayes, David Kramer, & M.J.A. Walker. (1998). Sodium Channel-Blocking Properties of Spiradoline, a κ Receptor Agonist, are Responsible for Its Antiarrhythmic Action in the Rat. Journal of Cardiovascular Pharmacology. 32(6). 863–874. 20 indexed citations

15.

Cantor, Louis B., et al.. (1995). Effect of Topical Flurbiprofen on Trabeculectomy. Journal of Glaucoma. 4(2). 98???102–98???102. 2 indexed citations

16.

Kramer, David, et al.. (1993). Survival of patients transplanted with alcoholic hepatitis plus cirrhosis as compared with those with cirrhosis alone.. PubMed. 25(1 Pt 2). 1126–7. 2 indexed citations

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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