Yaping Ji

1.2k total citations
27 papers, 946 citations indexed

About

Yaping Ji is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yaping Ji has authored 27 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 5 papers in Public Health, Environmental and Occupational Health and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yaping Ji's work include Pain Mechanisms and Treatments (16 papers), Menstrual Health and Disorders (5 papers) and Gastrointestinal motility and disorders (5 papers). Yaping Ji is often cited by papers focused on Pain Mechanisms and Treatments (16 papers), Menstrual Health and Disorders (5 papers) and Gastrointestinal motility and disorders (5 papers). Yaping Ji collaborates with scholars based in United States, China and United Kingdom. Yaping Ji's co-authors include Richard J. Traub, Bin Tang, Anne Z. Murphy, Dong‐Yuan Cao, Guang Bai, Bo Hu, Jiyun Li, Michael S. Lidow, Ying Sun and Harris G. Yfantis and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Yaping Ji

27 papers receiving 933 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaping Ji United States	18	554	221	212	126	109	27	946
Tzer-Bin Lin Taiwan	20	429 0.8×	343 1.6×	47 0.2×	79 0.6×	272 2.5×	50	1.0k
Marcel E. Lechin Venezuela	20	282 0.5×	143 0.6×	30 0.1×	135 1.1×	175 1.6×	33	1.1k
Michael Beyak Canada	15	408 0.7×	157 0.7×	471 2.2×	15 0.1×	236 2.2×	46	1.1k
Daniela Maftei Italy	17	208 0.4×	159 0.7×	36 0.2×	100 0.8×	177 1.6×	42	673
Yutaka Oki Japan	20	204 0.4×	134 0.6×	60 0.3×	634 5.0×	191 1.8×	53	1.1k
R. Carter W. Jones United States	9	460 0.8×	144 0.7×	432 2.0×	29 0.2×	181 1.7×	12	961
R. Curtis Rogers United States	15	112 0.2×	258 1.2×	77 0.4×	38 0.3×	154 1.4×	17	755
Yumiko Ikeda Japan	15	121 0.2×	305 1.4×	44 0.2×	71 0.6×	133 1.2×	38	860
Anthony J. Kirkup United Kingdom	17	403 0.7×	240 1.1×	409 1.9×	21 0.2×	267 2.4×	25	1.2k
Shafaq Sikandar United Kingdom	15	599 1.1×	332 1.5×	51 0.2×	21 0.2×	274 2.5×	27	959

Countries citing papers authored by Yaping Ji

Since Specialization

Citations

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

Fields of papers citing papers by Yaping Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaping Ji

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

All Works

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20 of 20 papers shown

So, Edward, Hua Zhou, Erin Burch, et al.. (2023). Complement component C1q is an immunological rheostat that regulates Fc:Fc$$\gamma$$R interactions. Immunogenetics. 75(4). 369–383. 2 indexed citations

Li, Qian, et al.. (2020). [Genetic analysis of a pedigree affected with congenital split-hand/foot malformation].. PubMed. 37(4). 467–470. 1 indexed citations

So, Edward, Yaping Ji, Yang Song, et al.. (2019). NK cell expression of Tim-3: First impressions matter. Immunobiology. 224(3). 362–370. 41 indexed citations

Ji, Yaping, Bo Hu, Jiyun Li, & Richard J. Traub. (2018). Opposing Roles of Estradiol and Testosterone on Stress-Induced Visceral Hypersensitivity in Rats. Journal of Pain. 19(7). 764–776. 44 indexed citations

Cao, Dong‐Yuan, Guang Bai, Yaping Ji, & Richard J. Traub. (2014). Epigenetic upregulation of metabotropic glutamate receptor 2 in the spinal cord attenuates oestrogen-induced visceral hypersensitivity. Gut. 64(12). 1913–1920. 55 indexed citations

Traub, Richard J., et al.. (2014). A Clinically Relevant Animal Model of Temporomandibular Disorder and Irritable Bowel Syndrome Comorbidity. Journal of Pain. 15(9). 956–966. 37 indexed citations

Traub, Richard J. & Yaping Ji. (2013). Sex differences and hormonal modulation of deep tissue pain. Frontiers in Neuroendocrinology. 34(4). 350–366. 63 indexed citations

Cao, Dong‐Yuan, Yaping Ji, Bin Tang, & Richard J. Traub. (2012). Estrogen Receptor β Activation Is Antinociceptive in a Model of Visceral Pain in the Rat. Journal of Pain. 13(7). 685–694. 41 indexed citations

Ji, Yaping, et al.. (2012). Sex differences in spinal processing of transient and inflammatory colorectal stimuli in the rat. Pain. 153(9). 1965–1973. 28 indexed citations

10.

Ji, Yaping, Bin Tang, & Richard J. Traub. (2011). Spinal estrogen receptor alpha mediates estradiol-induced pronociception in a visceral pain model in the rat. Pain. 152(5). 1182–1191. 62 indexed citations

11.

Traub, Richard J., et al.. (2008). A Rat Model of Chronic Postinflammatory Visceral Pain Induced by Deoxycholic Acid. Gastroenterology. 135(6). 2075–2083. 60 indexed citations

12.

Tang, Bin, Yaping Ji, & Richard J. Traub. (2008). Estrogen alters spinal NMDA receptor activity via a PKA signaling pathway in a visceral pain model in the rat. Pain. 137(3). 540–549. 78 indexed citations

13.

Ji, Yaping, Anne Z. Murphy, & Richard J. Traub. (2007). Estrogen Modulation of Morphine Analgesia of Visceral Pain in Female Rats Is Supraspinally and Peripherally Mediated. Journal of Pain. 8(6). 494–502. 45 indexed citations

14.

Ji, Yaping, Anne Z. Murphy, & Richard J. Traub. (2006). Sex differences in morphine-induced analgesia of visceral pain are supraspinally and peripherally mediated. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 291(2). R307–R314. 64 indexed citations

15.

Ji, Yaping, Bin Tang, & Richard J. Traub. (2005). Modulatory effects of estrogen and progesterone on colorectal hyperalgesia in the rat. Pain. 117(3). 433–442. 55 indexed citations

16.

Zhang, Yu‐Qiu, et al.. (2004). Electrophysiological and pharmacological properties of nucleus basalis magnocellularis neurons in rats.. PubMed. 25(2). 161–70. 9 indexed citations

17.

Ji, Yaping, et al.. (2004). Neonatal hind paw injury alters processing of visceral and somatic nociceptive stimuli in the adult rat. Journal of Pain. 5(8). 440–449. 42 indexed citations

18.

Ji, Yaping, Anne Z. Murphy, & Richard J. Traub. (2003). Estrogen Modulates the Visceromotor Reflex and Responses of Spinal Dorsal Horn Neurons to Colorectal Stimulation in the Rat. Journal of Neuroscience. 23(9). 3908–3915. 99 indexed citations

19.

Ji, Yaping & Richard J. Traub. (2002). Differential effects of spinal CNQX on two populations of dorsal horn neurons responding to colorectal distension in the rat. Pain. 99(1). 217–222. 16 indexed citations

20.

Zhang, Yu‐Qiu, et al.. (2002). Age-related alterations in responses of the nucleus basalis magnocellularis neurons to frontal cortex stimulation in rats. Neuroscience Letters. 330(3). 285–289. 1 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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