M. Vairamani

5.3k total citations
199 papers, 4.2k citations indexed

About

M. Vairamani is a scholar working on Spectroscopy, Organic Chemistry and Molecular Biology. According to data from OpenAlex, M. Vairamani has authored 199 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Spectroscopy, 47 papers in Organic Chemistry and 44 papers in Molecular Biology. Recurrent topics in M. Vairamani's work include Mass Spectrometry Techniques and Applications (74 papers), Analytical Chemistry and Chromatography (63 papers) and Analytical chemistry methods development (13 papers). M. Vairamani is often cited by papers focused on Mass Spectrometry Techniques and Applications (74 papers), Analytical Chemistry and Chromatography (63 papers) and Analytical chemistry methods development (13 papers). M. Vairamani collaborates with scholars based in India, United States and Japan. M. Vairamani's co-authors include N. Selvamurugan, S. Prabhakar, Saravanan Sekaran, N. Prasada Raju, Umesh Chandra Kulshrestha, M. R. V. S. Murty, Michael L. Gross, T. P. Sastry, Shama P. Mirza and R. Sekar and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Analytical Chemistry.

In The Last Decade

M. Vairamani

193 papers receiving 4.1k citations

Peers

M. Vairamani
Comparison fields: 5 of 156
  • Molecular Biology 1.2k
  • Biomedical Engineering 869
  • Spectroscopy 836
  • Organic Chemistry 748
  • Biomaterials 499
Replace Claudio Rossi with:
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Kim Lambertsen Larsen Denmark
Cynthia K. Larive United States
Qun Zhao China
Juying Li China
Antonio Tagarelli Italy
Yinfa Ma United States
Michael G. Weller Germany
István Fábián Hungary
Claudio Rossi Italy View profile →
Citations per field, relative to M. Vairamani
M. Vairamani · 1×
Citations per year, relative to M. Vairamani
M. Vairamani · 1×

Countries citing papers authored by M. Vairamani

Since Specialization
Citations

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

Fields of papers citing papers by M. Vairamani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Vairamani

This figure shows the co-authorship network connecting the top 25 collaborators of M. Vairamani. A scholar is included among the top collaborators of M. Vairamani 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 M. Vairamani. M. Vairamani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 33
2 78
3 20
4 20
5 156
6 41
7 20
8 10
9 5
10 19
11 5
12 0
13 25
14 75
15 4
16 26
17 2
18 97
19 15
20 67

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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