Padmesh Anjukandi

31 total papers · 580 total citations
22 papers, 481 citations indexed

About

Padmesh Anjukandi is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Padmesh Anjukandi has authored 22 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Atomic and Molecular Physics, and Optics and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Padmesh Anjukandi's work include Force Microscopy Techniques and Applications (9 papers), Protein Structure and Dynamics (8 papers) and Lipid Membrane Structure and Behavior (4 papers). Padmesh Anjukandi is often cited by papers focused on Force Microscopy Techniques and Applications (9 papers), Protein Structure and Dynamics (8 papers) and Lipid Membrane Structure and Behavior (4 papers). Padmesh Anjukandi collaborates with scholars based in India, Germany and New Zealand. Padmesh Anjukandi's co-authors include Martin A. K. Williams, Przemysław Dopieralski, Jordi Ribas‐Ariño, Dominik Marx, Mark R. Waterland, Martin Krupička, János Kiss, Hari Krishna Bisoyi, Juozas V. Gražulevičius and Valentas Gaidelis and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Chemical Engineering Journal.

In The Last Decade

Padmesh Anjukandi

18 papers receiving 481 citations

Author Peers

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

Author						Papers	Cites
Padmesh Anjukandi	141	111	109	98	89	22	481
Puja Goyal	94 0.7×	77 0.7×	72 0.7×	154 1.6×	25 0.3×	20	492
Hua Lv	115 0.8×	46 0.4×	82 0.8×	57 0.6×	106 1.2×	29	441
André Herzog Cardoso	106 0.8×	116 1.0×	99 0.9×	49 0.5×	84 0.9×	23	451
M. J. Wilkins	150 1.1×	36 0.3×	102 0.9×	108 1.1×	62 0.7×	21	460
D. R. Daniels	35 0.2×	45 0.4×	59 0.5×	122 1.2×	44 0.5×	19	495
Kazunori Otobe	35 0.2×	143 1.3×	62 0.6×	155 1.6×	71 0.8×	33	450
B.B. Neto	76 0.5×	32 0.3×	53 0.5×	63 0.6×	71 0.8×	24	416
François Sauvage	28 0.2×	52 0.5×	226 2.1×	67 0.7×	73 0.8×	29	492
Jinying Wang	64 0.5×	65 0.6×	130 1.2×	102 1.0×	155 1.7×	40	507
Tor Pedersen	69 0.5×	17 0.2×	108 1.0×	48 0.5×	78 0.9×	27	425

Countries citing papers authored by Padmesh Anjukandi

Since Specialization

Citations

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

Fields of papers citing papers by Padmesh Anjukandi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Padmesh Anjukandi

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