Kallare P. Arunkumar

84 total papers · 1.8k total citations
38 papers, 671 citations indexed

About

Kallare P. Arunkumar is a scholar working on Molecular Biology, Insect Science and Genetics. According to data from OpenAlex, Kallare P. Arunkumar has authored 38 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Insect Science and 12 papers in Genetics. Recurrent topics in Kallare P. Arunkumar's work include Silkworms and Sericulture Research (12 papers), Plant-Microbe Interactions and Immunity (5 papers) and Genomics and Phylogenetic Studies (5 papers). Kallare P. Arunkumar is often cited by papers focused on Silkworms and Sericulture Research (12 papers), Plant-Microbe Interactions and Immunity (5 papers) and Genomics and Phylogenetic Studies (5 papers). Kallare P. Arunkumar collaborates with scholars based in India, China and United States. Kallare P. Arunkumar's co-authors include Javaregowda Nagaraju, Kazuei Mita, Muralidhar Metta, Archana S. Gandhe, C. P. Singh, Jianqiu Liu, Channakeshavaiah Chikkaputtaiah, Qingyou Xia, Marian R. Goldsmith and Wanshun Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and Genetics.

In The Last Decade

Kallare P. Arunkumar

36 papers receiving 650 citations

Author Peers

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

Author						Papers	Cites
Kallare P. Arunkumar	280	256	241	157	112	38	671
Kakeru Yokoi	456 1.6×	297 1.2×	139 0.6×	80 0.5×	117 1.0×	41	693
Kenji Yukuhiro	193 0.7×	212 0.8×	197 0.8×	246 1.6×	118 1.1×	26	557
Feng Liu	212 0.8×	190 0.7×	160 0.7×	79 0.5×	60 0.5×	48	677
Junko Nohata	331 1.2×	453 1.8×	210 0.9×	195 1.2×	93 0.8×	15	744
Minjin Han	207 0.7×	459 1.8×	145 0.6×	102 0.6×	326 2.9×	58	762
C. M. Elvin	217 0.8×	346 1.4×	74 0.3×	109 0.7×	52 0.5×	16	625
Gangqi Fang	503 1.8×	188 0.7×	238 1.0×	34 0.2×	70 0.6×	24	720
Lucie Kučerová	299 1.1×	219 0.9×	128 0.5×	92 0.6×	56 0.5×	31	645
Fujiyoshi Matsubara	271 1.0×	284 1.1×	86 0.4×	105 0.7×	47 0.4×	39	559
Sriramana Kanginakudru	199 0.7×	308 1.2×	267 1.1×	51 0.3×	121 1.1×	19	740

Countries citing papers authored by Kallare P. Arunkumar

Since Specialization

Citations

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

Fields of papers citing papers by Kallare P. Arunkumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kallare P. Arunkumar. 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 Kallare P. Arunkumar. The network helps show where Kallare P. Arunkumar may publish in the future.

Co-authorship network of co-authors of Kallare P. Arunkumar

This figure shows the co-authorship network connecting the top 25 collaborators of Kallare P. Arunkumar. A scholar is included among the top collaborators of Kallare P. Arunkumar 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 Kallare P. Arunkumar. Kallare P. Arunkumar 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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