Maheswaran Mani

37 total papers · 561 total citations
24 papers, 461 citations indexed

About

Maheswaran Mani is a scholar working on Molecular Biology, Biomaterials and Immunology. According to data from OpenAlex, Maheswaran Mani has authored 24 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Biomaterials and 5 papers in Immunology. Recurrent topics in Maheswaran Mani's work include Bone Tissue Engineering Materials (3 papers), Amino Acid Enzymes and Metabolism (3 papers) and Mast cells and histamine (3 papers). Maheswaran Mani is often cited by papers focused on Bone Tissue Engineering Materials (3 papers), Amino Acid Enzymes and Metabolism (3 papers) and Mast cells and histamine (3 papers). Maheswaran Mani collaborates with scholars based in India, United States and Germany. Maheswaran Mani's co-authors include Karl Forchhammer, Claus Urbanke, Ulrike Ruppert, Annette Heinrich, Tharanikkarasu Kannan, Balaji Gowrivel Vijayakumar, Deepthi Ramesh, K. Ziegler, Wolfgang Lockau and Martin Hagemann and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Journal of Bacteriology.

In The Last Decade

Maheswaran Mani

24 papers receiving 457 citations

Author Peers

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

Author Last Decade Papers Cites
Maheswaran Mani 273 79 77 67 60 24 461
Yumiko Mishima 243 0.9× 83 1.1× 28 0.4× 44 0.7× 72 1.2× 21 496
Mark R. Pope 198 0.7× 67 0.8× 72 0.9× 38 0.6× 51 0.8× 12 444
Tobias Wacker 380 1.4× 32 0.4× 27 0.4× 40 0.6× 76 1.3× 14 529
U Müller 241 0.9× 65 0.8× 52 0.7× 11 0.2× 100 1.7× 22 539
Hyung‐Kwoun Kim 449 1.6× 72 0.9× 21 0.3× 23 0.3× 34 0.6× 24 523
Kwang-Seo Kim 327 1.2× 50 0.6× 32 0.4× 13 0.2× 65 1.1× 13 496
Claus Bollschweiler 338 1.2× 50 0.6× 28 0.4× 25 0.4× 54 0.9× 15 538
Daniela V. Rial 426 1.6× 64 0.8× 34 0.4× 49 0.7× 39 0.7× 20 494
Angad P. Mehta 403 1.5× 37 0.5× 162 2.1× 43 0.6× 33 0.6× 26 551
Josefina Guzmán 330 1.2× 94 1.2× 40 0.5× 22 0.3× 28 0.5× 25 547

Countries citing papers authored by Maheswaran Mani

Since Specialization
Citations

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

Fields of papers citing papers by Maheswaran Mani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maheswaran Mani

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