Shengji Jin

30 total papers · 632 total citations
19 papers, 416 citations indexed

About

Shengji Jin is a scholar working on Pharmacology, Civil and Structural Engineering and Clinical Psychology. According to data from OpenAlex, Shengji Jin has authored 19 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 3 papers in Civil and Structural Engineering and 3 papers in Clinical Psychology. Recurrent topics in Shengji Jin's work include Musculoskeletal pain and rehabilitation (5 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers) and Rock Mechanics and Modeling (3 papers). Shengji Jin is often cited by papers focused on Musculoskeletal pain and rehabilitation (5 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers) and Rock Mechanics and Modeling (3 papers). Shengji Jin collaborates with scholars based in China. Shengji Jin's co-authors include Shizheng Du, Jianshu Dong, Haiyan Yin, Lingli Hu, Guihua Xu, Xuan Chen, Heng Zhang, Heng Zhang, Guihua Xu and Yuqun Zhang and has published in prestigious journals such as Neuroscience & Biobehavioral Reviews, Journal of Advanced Nursing and Patient Education and Counseling.

In The Last Decade

Shengji Jin

16 papers receiving 398 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shengji Jin	165	79	64	60	59	19	416
Marcella May	97 0.6×	84 1.1×	40 0.6×	51 0.8×	77 1.3×	11	374
Nicole Andrews	275 1.7×	193 2.4×	54 0.8×	57 0.9×	46 0.8×	28	467
Ruth Deck	114 0.7×	111 1.4×	51 0.8×	114 1.9×	64 1.1×	45	424
Kenneth Reesor	309 1.9×	158 2.0×	41 0.6×	74 1.2×	27 0.5×	9	469
Alex Shum	40 0.2×	56 0.7×	91 1.4×	54 0.9×	101 1.7×	16	423
Pao‐Feng Tsai	73 0.4×	75 0.9×	74 1.2×	112 1.9×	16 0.3×	39	479
Han Samwel	269 1.6×	83 1.1×	27 0.4×	53 0.9×	16 0.3×	21	449
Santiago Galán	190 1.2×	128 1.6×	76 1.2×	59 1.0×	17 0.3×	28	441
Bettina Seekatz	63 0.4×	53 0.7×	34 0.5×	99 1.6×	15 0.3×	18	386
Fitsum Baye	51 0.3×	71 0.9×	80 1.3×	48 0.8×	47 0.8×	31	448

Countries citing papers authored by Shengji Jin

Since Specialization

Citations

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

Fields of papers citing papers by Shengji Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengji Jin

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

All Works

Loading papers...

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