Sudeshna Saha

35 total papers · 789 total citations
26 papers, 648 citations indexed

About

Sudeshna Saha is a scholar working on Industrial and Manufacturing Engineering, Inorganic Chemistry and Materials Chemistry. According to data from OpenAlex, Sudeshna Saha has authored 26 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Industrial and Manufacturing Engineering, 10 papers in Inorganic Chemistry and 8 papers in Materials Chemistry. Recurrent topics in Sudeshna Saha's work include Radioactive element chemistry and processing (10 papers), Chemical Synthesis and Characterization (8 papers) and Covalent Organic Framework Applications (4 papers). Sudeshna Saha is often cited by papers focused on Radioactive element chemistry and processing (10 papers), Chemical Synthesis and Characterization (8 papers) and Covalent Organic Framework Applications (4 papers). Sudeshna Saha collaborates with scholars based in India, Australia and Japan. Sudeshna Saha's co-authors include Hirakendu Basu, Rakesh Kumar Singhal, Mehzabin Vivek Pimple, Suresh Kumar Kailasa, Mittal L. Desai, Siddhartha Mukhopadhyay, Uttam Sinha Mahapatra, D. Mukherjee, S. Mukhopadhyay and Sabyasachi Rout and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and Chemosphere.

In The Last Decade

Sudeshna Saha

26 papers receiving 634 citations

Author Peers

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

Author						Papers	Cites
Sudeshna Saha	302	174	173	159	89	26	648
Dongxiang Zhang	307 1.0×	122 0.7×	308 1.8×	180 1.1×	112 1.3×	32	668
Miho Uchida	401 1.3×	105 0.6×	83 0.5×	136 0.9×	69 0.8×	38	642
Song Yang	342 1.1×	136 0.8×	223 1.3×	131 0.8×	55 0.6×	37	791
S. Sriram	198 0.7×	342 2.0×	267 1.5×	189 1.2×	43 0.5×	41	615
Hao Lei	319 1.1×	126 0.7×	135 0.8×	84 0.5×	63 0.7×	29	732
Hedayat Azizpour	289 1.0×	161 0.9×	279 1.6×	262 1.6×	66 0.7×	32	643
Ruxue Liu	260 0.9×	160 0.9×	120 0.7×	30 0.2×	112 1.3×	34	592
Josef Janků	191 0.6×	92 0.5×	72 0.4×	45 0.3×	115 1.3×	33	745
Zhenyu Wu	143 0.5×	143 0.8×	73 0.4×	58 0.4×	59 0.7×	37	580
Chang-Ha Lee	207 0.7×	205 1.2×	72 0.4×	36 0.2×	104 1.2×	22	578

Countries citing papers authored by Sudeshna Saha

Since Specialization

Citations

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

Fields of papers citing papers by Sudeshna Saha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudeshna Saha

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