Jane L. Ko

696 total citations
20 papers, 599 citations indexed

About

Jane L. Ko is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Jane L. Ko has authored 20 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 3 papers in Surgery. Recurrent topics in Jane L. Ko's work include Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (9 papers) and Chemical Synthesis and Analysis (4 papers). Jane L. Ko is often cited by papers focused on Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (9 papers) and Chemical Synthesis and Analysis (4 papers). Jane L. Ko collaborates with scholars based in United States, China and Taiwan. Jane L. Ko's co-authors include Horace H. Loh, Horace H. Loh, Sharon Minnerath, Lance B. Augustin, Robert Elde, Frank G. Williams, Zhongwei Cao, Ulf Arvidsson, Shahin Rafii and Bi‐Sen Ding and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Jane L. Ko

20 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane L. Ko United States 15 420 269 73 62 59 20 599
Peter J. Belmont United States 9 406 1.0× 75 0.3× 59 0.8× 31 0.5× 118 2.0× 11 796
Cheng‐Da Hsu Taiwan 14 382 0.9× 55 0.2× 18 0.2× 101 1.6× 92 1.6× 25 517
Mohammad Abu-Odeh United States 11 329 0.8× 88 0.3× 93 1.3× 54 0.9× 29 0.5× 12 530
Sebastian Bergling Switzerland 9 434 1.0× 31 0.1× 94 1.3× 59 1.0× 104 1.8× 12 736
C-H Chou Taiwan 9 264 0.6× 74 0.3× 22 0.3× 92 1.5× 27 0.5× 10 469
C M Ben-Avram United States 9 163 0.4× 150 0.6× 21 0.3× 78 1.3× 60 1.0× 10 369
Tetsuhide Ito Japan 7 106 0.3× 85 0.3× 41 0.6× 134 2.2× 128 2.2× 11 380
S. Emami France 10 183 0.4× 74 0.3× 16 0.2× 53 0.9× 93 1.6× 27 349
Ryan J. Schutte United States 13 151 0.4× 112 0.4× 34 0.5× 52 0.8× 11 0.2× 18 510

Countries citing papers authored by Jane L. Ko

Since Specialization
Citations

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

Fields of papers citing papers by Jane L. Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane L. Ko. 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 Jane L. Ko. The network helps show where Jane L. Ko may publish in the future.

Co-authorship network of co-authors of Jane L. Ko

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

All Works

20 of 20 papers shown
1.
Herrera, Alberto, et al.. (2017). Mechanism Governing Human Kappa-Opioid Receptor Expression under Desferrioxamine-Induced Hypoxic Mimic Condition in Neuronal NMB Cells. International Journal of Molecular Sciences. 18(1). 211–211. 3 indexed citations
2.
Shido, Koji, Deebly Chavez, Zhongwei Cao, et al.. (2017). Platelets prime hematopoietic–vascular niche to drive angiocrine-mediated liver regeneration. Signal Transduction and Targeted Therapy. 2(1). 26 indexed citations
3.
Cao, Zhongwei, Tinghong Ye, Gaili Ji, et al.. (2017). Targeting the vascular and perivascular niches as a regenerative therapy for lung and liver fibrosis. Science Translational Medicine. 9(405). 94 indexed citations
4.
Hunkele, Amanda, et al.. (2015). Identification of gamma-synuclein as a new PCBP1-interacting protein. Neurological Research. 38(12). 1064–1078. 3 indexed citations
5.
Ko, Jane L., et al.. (2012). RACK1 identified as the PCBP1‐interacting protein with a novel functional role on the regulation of human MOR gene expression. Journal of Neurochemistry. 124(4). 466–477. 8 indexed citations
6.
Karch, Christopher P., et al.. (2010). Effects of desferoxamine-induced hypoxia on neuronal human mu-opioid receptor gene expression. Biochemical and Biophysical Research Communications. 398(1). 56–61. 8 indexed citations
7.
Hunkele, Amanda, et al.. (2008). Effects of trichostatin A on neuronal mu-opioid receptor gene expression. Brain Research. 1246. 1–10. 25 indexed citations
8.
Loh, Horace H., et al.. (2006). Molecular basis of cellular localization of poly C binding protein 1 in neuronal cells. Biochemical and Biophysical Research Communications. 349(4). 1378–1386. 19 indexed citations
9.
Loh, Horace H., et al.. (2006). Interplay of Sps and poly(C) binding protein 1 on the μ-opioid receptor gene expression. Biochemical and Biophysical Research Communications. 345(1). 530–537. 17 indexed citations
10.
Loh, Horace H., et al.. (2006). Molecular basis underlying the poly C binding protein 1 as a regulator of the proximal promoter of mouse μ-opioid receptor gene. Brain Research. 1112(1). 33–45. 18 indexed citations
11.
Ko, Jane L. & Horace H. Loh. (2005). Poly C binding protein, a single‐stranded DNA binding protein, regulates mouse µ‐opioid receptor gene expression. Journal of Neurochemistry. 93(3). 749–761. 28 indexed citations
12.
Ko, Jane L., et al.. (2003). Role of an AP-2-like element in transcriptional regulation of mouse μ-opioid receptor gene. Molecular Brain Research. 112(1-2). 153–162. 27 indexed citations
13.
Ko, Jane L., Hung‐Chun Chen, & Horace H. Loh. (2002). Differential promoter usage of mouse μ-opioid receptor gene during development. Molecular Brain Research. 104(2). 184–193. 26 indexed citations
14.
Ko, Jane L. & Horace H. Loh. (2001). Single-stranded DNA-binding Complex Involved in Transcriptional Regulation of Mouse μ-Opioid Receptor Gene. Journal of Biological Chemistry. 276(1). 788–795. 36 indexed citations
15.
Augustin, Lance B., et al.. (1999). Transcriptional Regulation of Mouse δ-Opioid Receptor Gene. Journal of Biological Chemistry. 274(33). 23617–23626. 68 indexed citations
16.
Ko, Jane L., Ulf Arvidsson, Frank G. Williams, et al.. (1999). Visualization of time-dependent redistribution of δ-opioid receptors in neuronal cells during prolonged agonist exposure. Molecular Brain Research. 69(2). 171–185. 59 indexed citations
17.
Im, Hee‐Jeong, et al.. (1998). Mouse μ Opioid Receptor Gene Expression. Journal of Biological Chemistry. 273(52). 34926–34932. 23 indexed citations
18.
Ko, Jane L., et al.. (1998). Transcriptional Regulation of Mouse μ-Opioid Receptor Gene. Journal of Biological Chemistry. 273(42). 27678–27685. 49 indexed citations
19.
Ko, Jane L., Sharon Minnerath, & Horace H. Loh. (1997). Dual Promoters of Mouse μ-Opioid Receptor Gene1. Biochemical and Biophysical Research Communications. 234(2). 351–357. 57 indexed citations
20.
Ko, Jane L., et al.. (1987). β‐Endorphin: peripheral opioid activity of homologues from six species. International journal of peptide & protein research. 29(4). 521–524. 5 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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