Kiran Subedi

36 total papers · 850 total citations
24 papers, 504 citations indexed

About

Kiran Subedi is a scholar working on Biomedical Engineering, Agronomy and Crop Science and Biomaterials. According to data from OpenAlex, Kiran Subedi has authored 24 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Agronomy and Crop Science and 4 papers in Biomaterials. Recurrent topics in Kiran Subedi's work include Ruminant Nutrition and Digestive Physiology (5 papers), Bone Tissue Engineering Materials (4 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Kiran Subedi is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (5 papers), Bone Tissue Engineering Materials (4 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Kiran Subedi collaborates with scholars based in United States, Egypt and Nepal. Kiran Subedi's co-authors include Haoran Yu, Vishal Verma, Jinlai Wei, Brendan A.C. Harley, Aleczandria S. Tiffany, Danielle L. Gray, Toby J. Woods, Marley J. Dewey, Vinay Kumar Jha and Richard T. Haasch and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and ACS Applied Materials & Interfaces.

In The Last Decade

Kiran Subedi

22 papers receiving 499 citations

Author Peers

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

Author						Papers	Cites
Kiran Subedi	128	126	85	71	70	24	504
Min Young Kim	50 0.4×	146 1.2×	42 0.5×	62 0.9×	70 1.0×	28	516
Yanan Zhao	109 0.9×	155 1.2×	133 1.6×	42 0.6×	87 1.2×	49	578
Wen‐Hai Lin	57 0.4×	227 1.8×	40 0.5×	66 0.9×	32 0.5×	18	448
John Kasumba	52 0.4×	181 1.4×	75 0.9×	47 0.7×	61 0.9×	20	505
Yi-Chyun Hsu	97 0.8×	249 2.0×	63 0.7×	57 0.8×	25 0.4×	23	468
Bahar Shahnavaz	118 0.9×	27 0.2×	54 0.6×	32 0.5×	108 1.5×	33	494
Jieru Zhang	60 0.5×	81 0.6×	21 0.2×	59 0.8×	170 2.4×	18	522
Meng-Fei Han	45 0.4×	145 1.2×	21 0.2×	87 1.2×	43 0.6×	22	463
Valérie Desjardin	96 0.8×	143 1.1×	10 0.1×	33 0.5×	60 0.9×	12	447
Xurui Hu	129 1.0×	99 0.8×	9 0.1×	69 1.0×	112 1.6×	28	542

Countries citing papers authored by Kiran Subedi

Since Specialization

Citations

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

Fields of papers citing papers by Kiran Subedi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiran Subedi

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