Haiying Ren

54 total papers · 808 total citations
39 papers, 631 citations indexed

About

Haiying Ren is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Haiying Ren has authored 39 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 16 papers in Molecular Biology and 15 papers in Cell Biology. Recurrent topics in Haiying Ren's work include Plant-Microbe Interactions and Immunity (15 papers), Plant Pathogens and Fungal Diseases (15 papers) and Plant Disease Resistance and Genetics (6 papers). Haiying Ren is often cited by papers focused on Plant-Microbe Interactions and Immunity (15 papers), Plant Pathogens and Fungal Diseases (15 papers) and Plant Disease Resistance and Genetics (6 papers). Haiying Ren collaborates with scholars based in China, Saudi Arabia and Egypt. Haiying Ren's co-authors include Xingjiang Qi, Hansong Dong, Bin Li, Temoor Ahmed, Jinsheng Wang, Jianling Peng, Zhilong Bao, Shuwen Zhang, Tingquan Wu and Zheping Yu and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and International Journal of Molecular Sciences.

In The Last Decade

Haiying Ren

38 papers receiving 623 citations

Author Peers

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

Author						Papers	Cites
Haiying Ren	467	188	100	53	52	39	631
Mehdi Ghabooli	575 1.2×	175 0.9×	86 0.9×	21 0.4×	26 0.5×	35	718
Noor Afiza Badaluddin	409 0.9×	93 0.5×	85 0.8×	76 1.4×	28 0.5×	29	582
Abhijeet Shankar Kashyap	553 1.2×	144 0.8×	157 1.6×	23 0.4×	40 0.8×	40	735
Fang Wang	590 1.3×	180 1.0×	137 1.4×	53 1.0×	29 0.6×	35	785
Aïda Raio	551 1.2×	183 1.0×	130 1.3×	17 0.3×	39 0.8×	44	772
Adam Okorski	427 0.9×	126 0.7×	139 1.4×	43 0.8×	24 0.5×	82	580
Manoj Choudhary	469 1.0×	105 0.6×	70 0.7×	19 0.4×	22 0.4×	27	599
Ernesto A. Zavala‐González	475 1.0×	119 0.6×	59 0.6×	56 1.1×	65 1.3×	19	555
Siamak Shirani Bidabadi	644 1.4×	258 1.4×	37 0.4×	53 1.0×	19 0.4×	33	755
Yogesh Kumar Negi	457 1.0×	212 1.1×	40 0.4×	35 0.7×	14 0.3×	31	641

Countries citing papers authored by Haiying Ren

Since Specialization

Citations

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

Fields of papers citing papers by Haiying Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiying Ren

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

All Works

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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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