R. Zhang

7.9k total citations
11 papers, 41 citations indexed

About

R. Zhang is a scholar working on Nuclear and High Energy Physics, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, R. Zhang has authored 11 papers receiving a total of 41 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nuclear and High Energy Physics, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Obstetrics and Gynecology. Recurrent topics in R. Zhang's work include Particle physics theoretical and experimental studies (3 papers), Pregnancy and preeclampsia studies (2 papers) and Birth, Development, and Health (2 papers). R. Zhang is often cited by papers focused on Particle physics theoretical and experimental studies (3 papers), Pregnancy and preeclampsia studies (2 papers) and Birth, Development, and Health (2 papers). R. Zhang collaborates with scholars based in China, United States and Netherlands. R. Zhang's co-authors include Zhen Zhang, Yandong Liu, Bin Yan, Ke-Lin Du, Jiabin Lu, H. Kirk, M. Woodle, I. Ben‐Zvi, Lihua Yu and Xiang Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics Letters B and Archives of Biochemistry and Biophysics.

In The Last Decade

R. Zhang

9 papers receiving 40 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R. Zhang China	5	12	10	8	7	5	11	41
A. Christov Switzerland	4	18 1.5×	9 0.9×	10 1.3×	14 2.0×	5 1.0×	12	27
Paola La Rocca Italy	5	18 1.5×	4 0.4×	6 0.8×	10 1.4×	4 0.8×	11	53
L. Arruda Portugal	4	13 1.1×	8 0.8×	11 1.4×	14 2.0×	5 1.0×	8	36
K. Tsuno Japan	3	18 1.5×	12 1.2×	10 1.3×	5 0.7×	4 0.8×	5	35
T. Sumida Japan	4	24 2.0×	5 0.5×	5 0.6×	8 1.1×	3 0.6×	10	44
G. Baulieu France	3	10 0.8×	19 1.9×	6 0.8×	22 3.1×	9 1.8×	5	47
C. Thayer United States	4	5 0.4×	12 1.2×	14 1.8×	5 0.7×	6 1.2×	7	21
G. Gallina Canada	3	10 0.8×	11 1.1×	15 1.9×	8 1.1×	5 1.0×	8	35
J. Hulsman Switzerland	4	9 0.8×	11 1.1×	10 1.3×	13 1.9×	3 0.6×	8	26
K. Lacombe France	4	10 0.8×	11 1.1×	12 1.5×	14 2.0×	2 0.4×	12	27

Countries citing papers authored by R. Zhang

Since Specialization

Citations

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

Fields of papers citing papers by R. Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of R. Zhang. A scholar is included among the top collaborators of R. Zhang 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 R. Zhang. R. Zhang 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:

11 of 11 papers shown

Du, Ke-Lin, et al.. (2025). Foundations and Innovations in Data Fusion and Ensemble Learning for Effective Consensus. Mathematics. 13(4). 587–587. 7 indexed citations

Du, Ke-Lin, et al.. (2025). Understanding Machine Learning Principles: Learning, Inference, Generalization, and Computational Learning Theory. Mathematics. 13(3). 451–451. 5 indexed citations

Xu, Miao, Huijing Ma, Fang Wang, et al.. (2025). Metformin attenuates placental oxidative stress through Nrf2/Keap1 signaling in preeclampsia rats. Archives of Biochemistry and Biophysics. 774. 110622–110622.

Zhang, Guohua, et al.. (2025). Astragalus ameliorates oxidative stress in rat models of preeclampsia through the Nrf2/Keap1/NQO1 pathway. Placenta. 168. 232–239. 1 indexed citations

Mao, Xinguo, R. Zhang, Yulong Sun, et al.. (2025). A 2,6-diamidopyridine-based macrocyclic aromatic amide receptor with cascade ion pair recognition. RSC Advances. 15(8). 5850–5855.

Guan, Wen, T. Maeno, R. Zhang, et al.. (2024). Distributed Machine Learning Workflow with PanDA and iDDS in LHC ATLAS. SHILAP Revista de lepidopterología. 295. 4019–4019. 1 indexed citations

Gao, Xiang, et al.. (2024). Systematic Uncertainties from Gribov Copies in Lattice Calculation of Parton Distributions in the Coulomb Gauge. Chinese Physics Letters. 41(12). 121201–121201. 2 indexed citations

Zhang, R. & Zhen Zhang. (2023). Dark energy on astrophysical scales and its detection in the Milky Way. Journal of Cosmology and Astroparticle Physics. 2023(6). 31–31. 7 indexed citations

Liu, Yandong, Bin Yan, & R. Zhang. (2022). Loop induced top quark FCNC through top quark and dark matter interactions. Physics Letters B. 827. 136964–136964. 7 indexed citations

10.

J, Li, et al.. (1996). [The most important prognostic factors for 736 patients with adenocarcinoma of the gastric cardia: a multivariate analysis using COX proportion hazard model].. PubMed. 18(2). 134–6. 2 indexed citations

11.

Batchelor, K., I. Ben‐Zvi, R. Fernow, et al.. (1992). Status of the visible free-electron laser at the Brookhaven accelerator test facility. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 318(1-3). 159–164. 9 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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