Mallikarjun Badadani

19 total papers · 573 total citations
11 papers, 419 citations indexed

About

Mallikarjun Badadani is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Mallikarjun Badadani has authored 11 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Neurology and 4 papers in Oncology. Recurrent topics in Mallikarjun Badadani's work include Autophagy in Disease and Therapy (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Mallikarjun Badadani is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Mallikarjun Badadani collaborates with scholars based in United States, India and United Kingdom. Mallikarjun Badadani's co-authors include Virginia Kimonis, Angèle Nalbandian, Jogeshwar Mukherjee, Vincent J. Caiozzo, Jouni Vesa, Christopher Nguyen, Giles D. Watts, Eric Dec, Katrina J. Llewellyn and Masashi Kitazawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Muscle & Nerve.

In The Last Decade

Mallikarjun Badadani

9 papers receiving 411 citations

Author Peers

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

Author						Papers	Cites
Mallikarjun Badadani	179	174	146	110	66	11	419
Huadong Fan	175 1.0×	211 1.2×	129 0.9×	104 0.9×	69 1.0×	16	415
A Arosio	265 1.5×	154 0.9×	107 0.7×	82 0.7×	81 1.2×	13	443
Janet Ugolino	274 1.5×	179 1.0×	168 1.2×	87 0.8×	88 1.3×	7	441
Damian M. S. Spencer	143 0.8×	233 1.3×	55 0.4×	141 1.3×	64 1.0×	11	434
Isabelle Kolb‐Cheynel	230 1.3×	189 1.1×	84 0.6×	60 0.5×	90 1.4×	8	397
Ryan Prestil	90 0.5×	251 1.4×	113 0.8×	82 0.7×	34 0.5×	8	435
Khalid Arhzaouy	97 0.5×	239 1.4×	239 1.6×	207 1.9×	38 0.6×	8	481
Matthew J. Keuss	87 0.5×	299 1.7×	90 0.6×	108 1.0×	26 0.4×	7	423
Barbara Buccinnà	191 1.1×	253 1.5×	45 0.3×	50 0.5×	106 1.6×	14	484
Karin Kappes‐Horn	98 0.5×	245 1.4×	62 0.4×	104 0.9×	65 1.0×	12	409

Countries citing papers authored by Mallikarjun Badadani

Since Specialization

Citations

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

Fields of papers citing papers by Mallikarjun Badadani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mallikarjun Badadani

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