Steve Harmon

511 total citations
9 papers, 431 citations indexed

About

Steve Harmon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Steve Harmon has authored 9 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in Steve Harmon's work include Neuroscience and Neuropharmacology Research (2 papers), Polyamine Metabolism and Applications (2 papers) and Pancreatic function and diabetes (2 papers). Steve Harmon is often cited by papers focused on Neuroscience and Neuropharmacology Research (2 papers), Polyamine Metabolism and Applications (2 papers) and Pancreatic function and diabetes (2 papers). Steve Harmon collaborates with scholars based in United States and Bulgaria. Steve Harmon's co-authors include Karen L. O’Malley, W. J. Burke, Richard D. Todd, Mark Moffat, L. David Sibley, George T. Coker, Ann Uhland‐Smith, Xi Lu, Shelly E. Sakiyama‐Elbert and Jeong Sook Kim‐Han and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurochemistry and Infection and Immunity.

In The Last Decade

Steve Harmon

9 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steve Harmon United States	8	210	171	67	64	58	9	431
Shiraz Tyebji Australia	11	269 1.3×	158 0.9×	69 1.0×	70 1.1×	109 1.9×	13	508
Patrick J. Hunt United States	12	122 0.6×	77 0.5×	34 0.5×	45 0.7×	39 0.7×	25	553
L. Thai United States	8	150 0.7×	179 1.0×	65 1.0×	59 0.9×	23 0.4×	12	468
Ilka Schneider Germany	14	336 1.6×	198 1.2×	49 0.7×	70 1.1×	70 1.2×	38	738
Lisi OuYang China	14	133 0.6×	151 0.9×	87 1.3×	18 0.3×	22 0.4×	24	458
Gwynn M. Daniels United States	7	338 1.6×	319 1.9×	48 0.7×	46 0.7×	8 0.1×	8	579
Kristin Michaelsen‐Preusse Germany	14	199 0.9×	149 0.9×	88 1.3×	74 1.2×	36 0.6×	28	743
Satoshi Miura Japan	11	499 2.4×	65 0.4×	112 1.7×	130 2.0×	85 1.5×	22	926
Tanusree Das India	9	130 0.6×	74 0.4×	55 0.8×	66 1.0×	8 0.1×	15	395
Sun‐Jung Cho South Korea	12	258 1.2×	66 0.4×	90 1.3×	149 2.3×	7 0.1×	16	529

Countries citing papers authored by Steve Harmon

Since Specialization

Citations

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

Fields of papers citing papers by Steve Harmon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Harmon

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Li, Ping, et al.. (2017). GABA-B Controls Persistent Na ⁺ Current and Coupled Na ⁺ -Activated K ⁺ Current. eNeuro. 4(3). ENEURO.0114–17.2017. 7 indexed citations

Kress, Geraldine J., Hong‐Jin Shu, Amanda Taylor, et al.. (2014). Fast Phasic Release Properties of Dopamine Studied with a Channel Biosensor. Journal of Neuroscience. 34(35). 11792–11802. 17 indexed citations

Lu, Xi, Jeong Sook Kim‐Han, Steve Harmon, Shelly E. Sakiyama‐Elbert, & Karen L. O’Malley. (2014). The Parkinsonian mimetic, 6-OHDA, impairs axonal transport in dopaminergic axons. Molecular Neurodegeneration. 9(1). 17–17. 58 indexed citations

Harmon, Steve, et al.. (2014). Reassessment of the Role of Aromatic Amino Acid Hydroxylases and the Effect of Infection by Toxoplasma gondii on Host Dopamine. Infection and Immunity. 83(3). 1039–1047. 63 indexed citations

Moffat, Mark, Steve Harmon, John W. Haycock, & Karen L. O’Malley. (1997). l-Dopa and Dopamine-Producing Gene Cassettes for Gene Therapy Approaches to Parkinson's Disease. Experimental Neurology. 144(1). 69–73. 20 indexed citations

O’Malley, Karen L., Steve Harmon, Mark Moffat, Ann Uhland‐Smith, & Shou C. Wong. (1995). The Human Aromatic l‐Amino Acid Decarboxylase Gene Can Be Alternatively Spliced To Generate Unique Protein Isoforms. Journal of Neurochemistry. 65(6). 2409–2416. 59 indexed citations

Harmon, Steve, et al.. (1991). Analysis of the Structure and Expression of the Human Dopamine D2_A Receptor Gene. Journal of Neurochemistry. 56(3). 1024–1029. 70 indexed citations

Burke, W. J., Karen L. O’Malley, Hyung D. Chung, et al.. (1991). Effect of pre- and postmortem variables on specific mRNA levels in human brain. Molecular Brain Research. 11(1). 37–41. 63 indexed citations

Coker, George T., et al.. (1990). Analysis of tyrosine hydroxylase and insulin transcripts in human neuroendocrine tissues. Molecular Brain Research. 8(2). 93–98. 74 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.

Explore authors with similar magnitude of impact