Mark D. Okusa

522 total citations
12 papers, 407 citations indexed

About

Mark D. Okusa is a scholar working on Molecular Biology, Nephrology and Neurology. According to data from OpenAlex, Mark D. Okusa has authored 12 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Nephrology and 4 papers in Neurology. Recurrent topics in Mark D. Okusa's work include Vagus Nerve Stimulation Research (4 papers), Adenosine and Purinergic Signaling (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Mark D. Okusa is often cited by papers focused on Vagus Nerve Stimulation Research (4 papers), Adenosine and Purinergic Signaling (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Mark D. Okusa collaborates with scholars based in United States, Germany and Japan. Mark D. Okusa's co-authors include Diane L. Rosin, Hong Ye, Amandeep Bajwa, Kevin R. Lynch, Gail W. Sullivan, Joel Linden, David F. Smith, Liping Huang, Shinji Tanaka and Timothy L. Macdonald and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Kidney International.

In The Last Decade

Mark D. Okusa

12 papers receiving 404 citations

Peers

Mark D. Okusa
Damaris B. Skouras United States
Zi-Wei Yu China
Thampi George United States
Lisa Lam United States
Damaris B. Skouras United States
Mark D. Okusa
Citations per year, relative to Mark D. Okusa Mark D. Okusa (= 1×) peers Damaris B. Skouras

Countries citing papers authored by Mark D. Okusa

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Okusa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Okusa. 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 Mark D. Okusa. The network helps show where Mark D. Okusa may publish in the future.

Co-authorship network of co-authors of Mark D. Okusa

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

All Works

12 of 12 papers shown
1.
Okusa, Mark D., et al.. (2019). Pannexins in Acute Kidney Injury. ˜The œNephron journals/Nephron journals. 143(3). 158–161. 13 indexed citations
2.
Tanaka, Shinji, Benjamin Hammond, Diane L. Rosin, & Mark D. Okusa. (2019). Neuroimmunomodulation of tissue injury and disease: an expanding view of the inflammatory reflex pathway. SHILAP Revista de lepidopterología. 5(1). 13–13. 14 indexed citations
3.
Inoue, Tsuyoshi, Chikara Abe, Takahide Kohro, et al.. (2019). Non-canonical cholinergic anti-inflammatory pathway-mediated activation of peritoneal macrophages induces Hes1 and blocks ischemia/reperfusion injury in the kidney. Kidney International. 95(3). 563–576. 45 indexed citations
4.
Perry, Heather M., Sun‐Sang J. Sung, Liping Huang, et al.. (2019). Perivascular CD73+cells attenuate inflammation and interstitial fibrosis in the kidney microenvironment. American Journal of Physiology-Renal Physiology. 317(3). F658–F669. 22 indexed citations
5.
Filipp, Stephanie L., et al.. (2018). Metabolic Syndrome Severity and Risk of CKD and Worsened GFR: The Jackson Heart Study. Kidney & Blood Pressure Research. 43(2). 555–567. 37 indexed citations
6.
Tanaka, Shinji & Mark D. Okusa. (2018). Optogenetics in Understanding Mechanisms of Acute Kidney Injury. ˜The œNephron journals/Nephron journals. 140(2). 152–155. 5 indexed citations
7.
Inoue, Tsuyoshi, Diane L. Rosin, & Mark D. Okusa. (2016). CAPing inflammation and acute kidney injury. Kidney International. 90(3). 462–465. 6 indexed citations
8.
He, John Cijiang, Ying Fan, Andrew A. Hicks, et al.. (2015). Association Analysis of the Reticulon 1 Gene in End-Stage Kidney Disease. American Journal of Nephrology. 42(4). 259–264. 10 indexed citations
9.
Bajwa, Amandeep, Hong Ye, Steven Song, et al.. (2012). Dendritic Cell Sphingosine 1-Phosphate Receptor-3 Regulates Th1–Th2 Polarity in Kidney Ischemia–Reperfusion Injury. The Journal of Immunology. 189(5). 2584–2596. 69 indexed citations
10.
Bajwa, Amandeep, Sang-Kyung Jo, Hong Ye, et al.. (2010). Activation of Sphingosine-1-Phosphate 1 Receptor in the Proximal Tubule Protects Against Ischemia-Reperfusion Injury. Journal of the American Society of Nephrology. 21(6). 955–965. 100 indexed citations
11.
Okusa, Mark D., et al.. (2004). Polymorphoneutrophilic Infiltration in Acute Interstitial Nephritis of Sjögren Syndrome. The American Journal of the Medical Sciences. 327(5). 278–280. 1 indexed citations
12.
Okusa, Mark D., et al.. (2001). Enhanced protection from renal ischemia: Reperfusion injury with A2A-adenosine receptor activation and PDE 4 inhibition. Kidney International. 59(6). 2114–2125. 85 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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