Mathummal Sudarshan

96 papers receiving 1.7k citations

Peers

Mathummal Sudarshan
Comparison fields: 5 of 128
  • Pollution 468
  • Health, Toxicology and Mutagenesis 533
  • Water Science and Technology 357
  • Geochemistry and Petrology 100
  • Analytical Chemistry 165
Replace Gangavarapu Subrahmanyam with:
Gangavarapu Subrahmanyam India
Henryk Gorecki Poland
Zeeshanur Rahman India
Helena Górecka Poland
Qin Peng China
Saadia Rashid Tariq Pakistan
Prabhat Kumar India
Zikri Arslan United States
Jiali Shentu China
Xiaojun Li China
Mathummal Sudarshan relative to Gangavarapu Subrahmanyam India Gangavarapu Subrahmanyam's profile →
Citations per field
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Gangavarapu Subrahmanyam · 1×
Citations per year

Countries citing papers authored by Mathummal Sudarshan

Since Specialization
Citations

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

Fields of papers citing papers by Mathummal Sudarshan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mathummal Sudarshan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mathummal Sudarshan Line = papers co-authored together Mathummal Sudarshan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013222
2 2004165
3 201584
4 201777
5 202073
6 201270
7 200350
8 201348
9 200747
10 201342
11 201242
12 202140
13 200739
14 201636
15 201333
16 200832
17 201232
18 201731
19 201829
20 201425

About Mathummal Sudarshan

Mathummal Sudarshan is a scholar working on Pollution, Health, Toxicology and Mutagenesis, Analytical Chemistry, Water Science and Technology and Radiation, having authored 97 papers that have together received 1.8k indexed citations. Recurring topics across this work include Heavy metals in environment (25 papers), Heavy Metals in Plants (16 papers), X-ray Spectroscopy and Fluorescence Analysis (12 papers), Radioactivity and Radon Measurements (9 papers), Chromium effects and bioremediation (9 papers), Trace Elements in Health (8 papers), Adsorption and biosorption for pollutant removal (8 papers) and Genetics and Plant Breeding (8 papers). The work is most often cited by research in Pollution (468 citations), Health, Toxicology and Mutagenesis (533 citations), Water Science and Technology (357 citations), Geochemistry and Petrology (100 citations) and Analytical Chemistry (165 citations). Mathummal Sudarshan has collaborated with scholars based in India, United Kingdom and South Africa. Frequent co-authors include Anindita Chakraborty, Shidharth Sankar Ram, Anindita Chakraborty, Punarbasu Chaudhuri, Hrudayanath Thatoi, Subhas Chandra Santra, Sabita Patel, Ardhendu Saha, B. K. Mishra and Sasmita Das. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Journal of Radioanalytical and Nuclear Chemistry, Chemosphere, Biological Trace Element Research and Environmental Science and Pollution Research.

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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