Feng Ji

411 total citations
9 papers, 322 citations indexed

About

Feng Ji is a scholar working on Cardiology and Cardiovascular Medicine, Anesthesiology and Pain Medicine and Surgery. According to data from OpenAlex, Feng Ji has authored 9 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cardiology and Cardiovascular Medicine, 2 papers in Anesthesiology and Pain Medicine and 1 paper in Surgery. Recurrent topics in Feng Ji's work include Pain Management and Treatment (2 papers), Heart Rate Variability and Autonomic Control (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). Feng Ji is often cited by papers focused on Pain Management and Treatment (2 papers), Heart Rate Variability and Autonomic Control (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). Feng Ji collaborates with scholars based in China, United States and Japan. Feng Ji's co-authors include Takeshi Yagi, Rigao Ding, Kunihiko Obata, Makoto Sanbo, Hideaki Kume, Hideo Asada, Yuuki Kawamura, Kei Maruyama, Hiroko Kuzume and Jieyun Yin and has published in prestigious journals such as Gastroenterology, Biochemical and Biophysical Research Communications and Obesity Surgery.

In The Last Decade

Feng Ji

8 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feng Ji China	4	204	76	65	50	48	9	322
Alexandre dos Santos‐Rodrigues Brazil	9	191 0.9×	114 1.5×	127 2.0×	31 0.6×	20 0.4×	20	465
Jorge Ramírez‐Franco Spain	11	224 1.1×	142 1.9×	70 1.1×	62 1.2×	12 0.3×	22	371
Ji-Seon Seo South Korea	8	96 0.5×	158 2.1×	57 0.9×	54 1.1×	14 0.3×	9	377
Filipa L. Campos Portugal	10	315 1.5×	119 1.6×	144 2.2×	63 1.3×	12 0.3×	11	629
Francisco Espejo‐Porras Spain	12	168 0.8×	85 1.1×	31 0.5×	56 1.1×	54 1.1×	12	467
José Eduardo Peixoto-Santos Brazil	12	236 1.2×	51 0.7×	33 0.5×	98 2.0×	15 0.3×	28	379
Yuko Kitahara Japan	10	114 0.6×	132 1.7×	65 1.0×	30 0.6×	12 0.3×	11	403
Sandra B. Martin United States	11	232 1.1×	74 1.0×	33 0.5×	34 0.7×	95 2.0×	18	534
Masahiko Iwakiri Japan	9	275 1.3×	195 2.6×	40 0.6×	81 1.6×	17 0.4×	15	396
E. Dobó Hungary	11	227 1.1×	161 2.1×	46 0.7×	36 0.7×	21 0.4×	21	433

Countries citing papers authored by Feng Ji

Since Specialization

Citations

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

Fields of papers citing papers by Feng Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Ji. A scholar is included among the top collaborators of Feng 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 Feng Ji. Feng Ji 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

1.

Zheng, Zheng, Yilin Liu, Feng Ji, et al.. (2022). Association of serum anion gap and risk of long‐term mortality in patients following coronary artery bypass grafting: A propensity score matching study. Journal of Cardiac Surgery. 37(12). 4906–4918. 4 indexed citations

2.

Yin, Jieyun, et al.. (2019). Vagal Nerve Stimulation for Glycemic Control in a Rodent Model of Type 2 Diabetes. Obesity Surgery. 29(9). 2869–2877. 34 indexed citations

3.

Ji, Feng, et al.. (2019). Prokinetic effects of spinal cord stimulation and its autonomic mechanisms in dogs. Neurogastroenterology & Motility. 31(7). e13596–e13596. 1 indexed citations

4.

Tu, Lei, Bo Zhang, Feng Ji, et al.. (2018). Sa1560 - A Novel Method of Spinal Cord Stimulation for Treating Gastroparesis a Priliminary Study in Dogs. Gastroenterology. 154(6). S–311. 1 indexed citations

5.

Ji, Feng, et al.. (2016). Effect of Transcutaneous Electrical Acupoint Stimulation on Red Blood Cell and Hemoglobin in College Athletes with Exercise Fatigue. 26(4). 43–43. 1 indexed citations

6.

Huang, Guirong, et al.. (2014). [Effect of electroacupuncture of "Mingmen" (GV 4) on bone morphogenetic protein-2 expression in osteoporosis rats].. PubMed. 39(2). 130–5.

7.

Mao, Li, et al.. (2011). Development and linear growth in diabetic children receiving insulin pigment. Journal of Pediatric Endocrinology and Metabolism. 24(7-8). 433–6. 15 indexed citations

8.

Obata, Kunihiko, Feng Ji, Oliver Stork, & Simone Stork. (1998). Reduction of brain GABA contents and changes in emotional behavior in mice lacking glutamic acid decarboxylase 65kDa isoform. Neuroscience Research. 31. S72–S72. 1 indexed citations

9.

Asada, Hideo, Yuuki Kawamura, Kei Maruyama, et al.. (1996). Mice Lacking the 65 kDa Isoform of Glutamic Acid Decarboxylase (GAD65) Maintain Normal Levels of GAD67 and GABA in Their Brains but Are Susceptible to Seizures. Biochemical and Biophysical Research Communications. 229(3). 891–895. 265 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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