Subhra Bhattacharya

1.3k citations
49 papers · 970 · h-index 19

Impact in

Papers in

Subhra Bhattacharya

47 papers receiving 901 citations

Peers

Subhra Bhattacharya
Comparison fields: 5 of 113
  • Modeling and Simulation 148
  • Numerical Analysis 114
  • Astronomy and Astrophysics 224
  • Nuclear and High Energy Physics 167
  • Biochemistry 48
Replace Der‐Chen Chang with:
Der‐Chen Chang United States
Sagarika Biswas India
Herbert Koch Germany
Alberto Abbondandolo Italy
Sebastian Walcher Germany
T. Kato Japan
R. S. Kaushal India
Vladimir Georgiev Italy
Laurent Cairó France
Subhra Bhattacharya relative to Der‐Chen Chang United States Der‐Chen Chang's profile →
Citations per field
00.5×11.9×
Der‐Chen Chang · 1×
Citations per year

Countries citing papers authored by Subhra Bhattacharya

Since Specialization
Citations

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

Fields of papers citing papers by Subhra Bhattacharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Subhra Bhattacharya, 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 Subhra Bhattacharya Line = papers co-authored together Subhra Bhattacharya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200797
2 201581
3 201665
4 200664
5 200955
6 201744
7
Use of Bernstein Polynomials in Numerical Solutions of Volterra Integral Equations
200838
8 199837
9 200336
10 200335
11 200832
12 200431
13 200829
14 200729
15 199727
16 199926
17 200323
18 199922
19 200322
20 200318

About Subhra Bhattacharya

Subhra Bhattacharya is a scholar working on Molecular Biology, Astronomy and Astrophysics, Nuclear and High Energy Physics, Genetics and Plant Science, having authored 49 papers that have together received 970 indexed citations. Recurring topics across this work include Cosmology and Gravitation Theories (12 papers), Black Holes and Theoretical Physics (7 papers), Hemoglobinopathies and Related Disorders (5 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (5 papers), Iron Metabolism and Disorders (4 papers), Polyamine Metabolism and Applications (4 papers) and earthquake and tectonic studies (3 papers). The work is most often cited by research in Modeling and Simulation (148 citations), Numerical Analysis (114 citations), Astronomy and Astrophysics (224 citations), Nuclear and High Energy Physics (167 citations) and Biochemistry (48 citations). Subhra Bhattacharya has collaborated with scholars based in India, United States and Spain. Frequent co-authors include B. N. Mandal, Subenoy Chakraborty, Supriya Pan, Narendra Kumar Jain, Narayanan Ganesh, Suman Ramteke, William H. McClain, Kay Gabriel, Jay Schneider and Rafael C. Nunes. Their work appears in journals such as Journal of Molecular Biology, Monthly Notices of the Royal Astronomical Society, Proceedings of the National Academy of Sciences, Annals of Physics and Physics Letters B.

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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