Kim E. Olson

962 total citations
17 papers, 779 citations indexed

About

Kim E. Olson is a scholar working on Physiology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kim E. Olson has authored 17 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 4 papers in Surgery and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kim E. Olson's work include Adenosine and Purinergic Signaling (8 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Transplantation: Methods and Outcomes (3 papers). Kim E. Olson is often cited by papers focused on Adenosine and Purinergic Signaling (8 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Transplantation: Methods and Outcomes (3 papers). Kim E. Olson collaborates with scholars based in United States and Germany. Kim E. Olson's co-authors include Aaron J. Marcus, M. Johan Broekman, Joan H.F. Drosopoulos, Naziba Islam, David J. Pinsky, Dianne Pulte, David M. Stern, Roberto Levi, Jorge R. Kizer and Vivette D. D’Agati and has published in prestigious journals such as Blood, Circulation Research and The FASEB Journal.

In The Last Decade

Kim E. Olson

17 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim E. Olson United States 13 208 180 175 162 122 17 779
Caroline Sevin France 20 65 0.3× 551 3.1× 121 0.7× 45 0.3× 39 0.3× 54 1.4k
Julian Raiman Canada 24 61 0.3× 559 3.1× 334 1.9× 45 0.3× 41 0.3× 58 1.5k
Joan H.F. Drosopoulos United States 17 1.0k 5.0× 274 1.5× 16 0.1× 183 1.1× 340 2.8× 22 1.6k
Stephanie Austin United States 25 37 0.2× 375 2.1× 258 1.5× 28 0.2× 55 0.5× 72 2.0k
Daniella Brasacchio Australia 11 28 0.1× 1.0k 5.6× 286 1.6× 230 1.4× 144 1.2× 16 1.9k
Simona Fecarotta Italy 17 39 0.2× 207 1.1× 75 0.4× 41 0.3× 23 0.2× 41 775
Wendy J. Introne United States 19 27 0.1× 664 3.7× 657 3.8× 247 1.5× 32 0.3× 59 1.8k
Jayesh Sheth India 18 62 0.3× 277 1.5× 31 0.2× 30 0.2× 20 0.2× 111 938
Shahrzad Abbasi United States 13 34 0.2× 453 2.5× 18 0.1× 203 1.3× 372 3.0× 23 1.3k
Asako Itaya‐Hironaka Japan 19 44 0.2× 171 0.9× 34 0.2× 55 0.3× 26 0.2× 39 756

Countries citing papers authored by Kim E. Olson

Since Specialization
Citations

This map shows the geographic impact of Kim E. Olson'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. Olson 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. Olson more than expected).

Fields of papers citing papers by Kim E. Olson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim E. Olson

This figure shows the co-authorship network connecting the top 25 collaborators of Kim E. Olson. A scholar is included among the top collaborators of Kim E. Olson 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 Kim E. Olson. Kim E. Olson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Aldi, Silvia, Alice Marino, Kengo Tomita, et al.. (2014). E‐NTPDase1/CD39 modulates renin release from heart mast cells during ischemia/reperfusion: a novel cardioprotective role. The FASEB Journal. 29(1). 61–69. 16 indexed citations
2.
Corti, Federico, Kim E. Olson, Aaron J. Marcus, & Roberto Levi. (2011). The Expression Level of Ecto-NTP Diphosphohydrolase1/CD39 Modulates Exocytotic and Ischemic Release of Neurotransmitters in a Cellular Model of Sympathetic Neurons. Journal of Pharmacology and Experimental Therapeutics. 337(2). 524–532. 9 indexed citations
3.
Pulte, Dianne, Richard R. Furman, M. Johan Broekman, et al.. (2011). CD39 Expression on T Lymphocytes Correlates With Severity of Disease in Patients With Chronic Lymphocytic Leukemia. Clinical Lymphoma Myeloma & Leukemia. 11(4). 367–372. 60 indexed citations
4.
Pulte, Dianne, Kim E. Olson, M. Johan Broekman, et al.. (2007). CD39 activity correlates with stage and inhibits platelet reactivity in chronic lymphocytic leukemia. Journal of Translational Medicine. 5(1). 23–23. 32 indexed citations
5.
Pulte, Dianne, M. Johan Broekman, Kim E. Olson, et al.. (2007). CD39/NTPDase-1 activity and expression in normal leukocytes. Thrombosis Research. 121(3). 309–317. 79 indexed citations
6.
Olson, Kim E., et al.. (2007). 3D Heart: A new visual training method for Electrocardiographic Analysis. Journal of Electrocardiology. 40(5). 457.e1–457.e7. 7 indexed citations
7.
Marcus, Aaron J., M. Johan Broekman, Joan H.F. Drosopoulos, et al.. (2005). Role of CD39 (NTPDase-1) in Thromboregulation, Cerebroprotection, and Cardioprotection. Seminars in Thrombosis and Hemostasis. 31(2). 234–246. 107 indexed citations
8.
Pulte, Dianne, Kim E. Olson, Naziba Islam, et al.. (2005). Function of CD39 (NTPDase-1) in Chronic Lymphocytic Leukemia.. Blood. 106(11). 4974–4974. 1 indexed citations
9.
Olson, Kim E., Dianne Pulte, M. Johan Broekman, et al.. (2005). CD39/NTPDase1 Variants Identified in Human Neutrophils Regulate Antithrombotic Activity.. Blood. 106(11). 3088–3088. 5 indexed citations
10.
El‐Omar, Magdi, Naziba Islam, M. Johan Broekman, et al.. (2004). The ratio of ADP- to ATP-ectonucleotidase activity is reduced in patients with coronary artery disease. Thrombosis Research. 116(3). 199–206. 23 indexed citations
11.
Okada, Morihito, Catherine Y. Wang, Taichi Sakaguchi, et al.. (2002). Transcriptional Control of Cardiac Allograft Vasculopathy by Early Growth Response Gene-1 (Egr-1). Circulation Research. 91(2). 135–142. 42 indexed citations
12.
Kislinger, Thomas, Nozomu Tanji, Thoralf Wendt, et al.. (2001). Receptor for Advanced Glycation End Products Mediates Inflammation and Enhanced Expression of Tissue Factor in Vasculature of Diabetic Apolipoprotein E–Null Mice. Arteriosclerosis Thrombosis and Vascular Biology. 21(6). 905–910. 238 indexed citations
13.
Okada, Morihito, Tomoyuki Fujita, Taichi Sakaguchi, et al.. (2001). Extinguishing Egr‐1‐dependent inflammatory and thrombotic cascades following lung transplantation. The FASEB Journal. 15(14). 1–18. 54 indexed citations
14.
Pinsky, David J., Matthias Szabolcs, E Athan, et al.. (1999). Nitric oxide triggers programmed cell death (apoptosis) of adult rat ventricular myocytes in culture. American Journal of Physiology-Heart and Circulatory Physiology. 277(3). H1189–H1199. 56 indexed citations
15.
Smith, Gail K., Christopher M. Hill, Thomas P. Gregor, & Kim E. Olson. (1998). Reliability of the hip distraction index in two-month-old German Shepherd Dogs. Journal of the American Veterinary Medical Association. 212(10). 1560–1563. 21 indexed citations
16.
Petros, Thomas V., et al.. (1989). Effects of text genre and verbal ability on adult age differences in sensitivity to test structure.. Psychology and Aging. 4(2). 247–250. 17 indexed citations
17.
Petros, Thomas V., et al.. (1989). Effects of text genre and verbal ability on adult age differences in sensitivity to test structure.. Psychology and Aging. 4(2). 247–250. 12 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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