Michael Koblish

1.3k total citations · 1 hit paper
13 papers, 929 citations indexed

About

Michael Koblish is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Michael Koblish has authored 13 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 6 papers in Pharmacology. Recurrent topics in Michael Koblish's work include Neuropeptides and Animal Physiology (7 papers), Pharmacological Receptor Mechanisms and Effects (6 papers) and Cannabis and Cannabinoid Research (6 papers). Michael Koblish is often cited by papers focused on Neuropeptides and Animal Physiology (7 papers), Pharmacological Receptor Mechanisms and Effects (6 papers) and Cannabis and Cannabinoid Research (6 papers). Michael Koblish collaborates with scholars based in United States. Michael Koblish's co-authors include David H. Rominger, Conrad L. Cowan, Jonathan D. Violin, Philip Pitis, Scott M. DeWire, Catherine Yuan, Dimitar B. Gotchev, Xiaotao Chen, Dennis S. Yamashita and Michael W. Lark and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and European Journal of Pharmacology.

In The Last Decade

Michael Koblish

13 papers receiving 905 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A G Protein-Biased Ligand at the μ-Opioid Receptor Is Potently Analgesic with Reduced Gastrointestinal and Respiratory Dysfunction Compared with Morphine

2013 502 citations Scott M. DeWire, Dennis S. Yamashita et al. Journal of Pharmacology and Experimental Therapeutics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Koblish United States	11	642	642	210	141	73	13	929
Dimitar B. Gotchev United States	5	550 0.9×	507 0.8×	116 0.6×	61 0.4×	63 0.9×	6	787
Philip Pitis United States	7	571 0.9×	538 0.8×	127 0.6×	38 0.3×	63 0.9×	7	774
Diane L. DeHaven‐Hudkins United States	18	615 1.0×	541 0.8×	222 1.1×	77 0.5×	145 2.0×	46	1.1k
Daniela G. Dengler United States	7	651 1.0×	519 0.8×	127 0.6×	44 0.3×	33 0.5×	10	821
Nicolette C. Ross United States	12	603 0.9×	473 0.7×	145 0.7×	61 0.4×	18 0.2×	12	778
Edward L. Stahl United States	14	575 0.9×	587 0.9×	128 0.6×	102 0.7×	23 0.3×	24	763
Nicole Kennedy United States	9	435 0.7×	388 0.6×	102 0.5×	48 0.3×	23 0.3×	19	664
J E Waddell United States	15	621 1.0×	401 0.6×	268 1.3×	74 0.5×	79 1.1×	17	1.1k
Karl F. Herold United States	15	415 0.6×	301 0.5×	69 0.3×	32 0.2×	64 0.9×	22	893
P.N. Patil United States	15	412 0.6×	263 0.4×	145 0.7×	94 0.7×	36 0.5×	55	784

Countries citing papers authored by Michael Koblish

Since Specialization

Citations

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

Fields of papers citing papers by Michael Koblish

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Koblish

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

All Works

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13 of 13 papers shown

Koblish, Michael, Richard W. Carr, Edward R. Siuda, et al.. (2017). TRV0109101, a G Protein-Biased Agonist of the µ-Opioid Receptor, Does Not Promote Opioid-Induced Mechanical Allodynia following Chronic Administration. Journal of Pharmacology and Experimental Therapeutics. 362(2). 254–262. 27 indexed citations

DeWire, Scott M., Dennis S. Yamashita, David H. Rominger, et al.. (2013). A G Protein-Biased Ligand at the μ-Opioid Receptor Is Potently Analgesic with Reduced Gastrointestinal and Respiratory Dysfunction Compared with Morphine. Journal of Pharmacology and Experimental Therapeutics. 344(3). 708–717. 502 indexed citations breakdown →

Chen, Xiaotao, Philip Pitis, Guodong Liu, et al.. (2013). Structure–Activity Relationships and Discovery of a G Protein Biased μ Opioid Receptor Ligand, [(3-Methoxythiophen-2-yl)methyl]({2-[(9R)-9-(pyridin-2-yl)-6-oxaspiro-[4.5]decan-9-yl]ethyl})amine (TRV130), for the Treatment of Acute Severe Pain. Journal of Medicinal Chemistry. 56(20). 8019–8031. 172 indexed citations

Worm, Karin, Christopher T. Saeui, Joel Cassel, et al.. (2009). Discovery of N-(3-(morpholinomethyl)-phenyl)-amides as potent and selective CB2 agonists. Bioorganic & Medicinal Chemistry Letters. 19(17). 5004–5008. 6 indexed citations

Bourdonnec, Bertrand Le, Karin Worm, Catherine Goodman, et al.. (2009). Novel sulfamoyl benzamides as selective CB2 agonists with improved in vitro metabolic stability. Bioorganic & Medicinal Chemistry Letters. 20(1). 387–391. 9 indexed citations

Chu, Guo‐Hua, Christopher T. Saeui, Karin Worm, et al.. (2009). Novel pyridine derivatives as potent and selective CB2 cannabinoid receptor agonists. Bioorganic & Medicinal Chemistry Letters. 19(20). 5931–5935. 12 indexed citations

Worm, Karin, Christopher T. Saeui, Joel Cassel, et al.. (2008). Sulfamoyl benzamides as novel CB2 cannabinoid receptor ligands. Bioorganic & Medicinal Chemistry Letters. 18(9). 2830–2835. 13 indexed citations

Goodman, Catherine, Karin Worm, Bertrand Le Bourdonnec, et al.. (2008). CB2 selective sulfamoyl benzamides: Optimization of the amide functionality. Bioorganic & Medicinal Chemistry Letters. 19(2). 309–313. 14 indexed citations

Chu, Guo‐Hua, Minghua Gu, Joel Cassel, et al.. (2007). Novel malonamide derivatives as potent κ opioid receptor agonists. Bioorganic & Medicinal Chemistry Letters. 17(7). 1951–1955. 24 indexed citations

10.

LaBuda, Christopher J., Michael Koblish, Paul A. Tuthill, Roland E. Dolle, & Patrick Little. (2005). Antinociceptive activity of the selective iNOS inhibitor AR‐C102222 in rodent models of inflammatory, neuropathic and post‐operative pain. European Journal of Pain. 10(6). 505–505. 55 indexed citations

11.

LaBuda, Christopher J., Michael Koblish, & Patrick Little. (2005). Cannabinoid CB2 receptor agonist activity in the hindpaw incision. European Journal of Pharmacology. 527(1-3). 172–174. 62 indexed citations

12.

Kumar, Virendra, Joel Cassel, Jeffrey D. Daubert, et al.. (2005). Synthesis and evaluation of novel peripherally restricted κ-opioid receptor agonists. Bioorganic & Medicinal Chemistry Letters. 15(4). 1091–1095. 17 indexed citations

13.

Tuthill, Paul A., Joel Cassel, Serge Belanger, et al.. (2004). Azepinone as a conformational constraint in the design of κ-opioid receptor agonists. Bioorganic & Medicinal Chemistry Letters. 14(22). 5693–5697. 16 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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