Arpit Saxena

72 total papers · 1.3k total citations
42 papers, 742 citations indexed

About

Arpit Saxena is a scholar working on Agronomy and Crop Science, Epidemiology and Immunology. According to data from OpenAlex, Arpit Saxena has authored 42 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Agronomy and Crop Science, 8 papers in Epidemiology and 7 papers in Immunology. Recurrent topics in Arpit Saxena's work include Animal Disease Management and Epidemiology (9 papers), Vector-Borne Animal Diseases (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Arpit Saxena is often cited by papers focused on Animal Disease Management and Epidemiology (9 papers), Vector-Borne Animal Diseases (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Arpit Saxena collaborates with scholars based in India and United States. Arpit Saxena's co-authors include Raja Fayad, Manjeshwar Shrinath Baliga, Kamaljeet Kaur, Venkatesh Ponemone, Emma Fletcher, Nandhini Joseph, M.V. Venkataranganna, Sukhbir Singh, S. Sinha and Alexander A. Chumanevich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mayo Clinic Proceedings and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

In The Last Decade

Arpit Saxena

39 papers receiving 721 citations

Author Peers

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

Author						Papers	Cites
Arpit Saxena	159	142	123	90	88	42	742
Ruiming Hu	142 0.9×	275 1.9×	56 0.5×	39 0.4×	72 0.8×	34	852
Yihui Li	80 0.5×	402 2.8×	34 0.3×	80 0.9×	97 1.1×	57	882
Taseer Ahmed Khan	170 1.1×	102 0.7×	66 0.5×	24 0.3×	49 0.6×	51	756
Ching‐Chang Cheng	133 0.8×	212 1.5×	26 0.2×	127 1.4×	55 0.6×	50	718
Hwa Young Kim	74 0.5×	175 1.2×	89 0.7×	28 0.3×	57 0.6×	71	816
Wenbo Jiang	123 0.8×	288 2.0×	87 0.7×	40 0.4×	126 1.4×	60	851
Mohammad Bagher Owlia	94 0.6×	127 0.9×	43 0.3×	29 0.3×	114 1.3×	48	901
Xiaorui Chen	66 0.4×	285 2.0×	78 0.6×	40 0.4×	59 0.7×	50	837
Siyu Yang	91 0.6×	328 2.3×	59 0.5×	18 0.2×	54 0.6×	58	735
Rachel M. Golonka	105 0.7×	484 3.4×	100 0.8×	21 0.2×	135 1.5×	33	880

Countries citing papers authored by Arpit Saxena

Since Specialization

Citations

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

Fields of papers citing papers by Arpit Saxena

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpit Saxena

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