Sudha Jain

102 total papers · 961 total citations
79 papers, 702 citations indexed

About

Sudha Jain is a scholar working on Organic Chemistry, Molecular Biology and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Sudha Jain has authored 79 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Organic Chemistry, 22 papers in Molecular Biology and 17 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Sudha Jain's work include Nonlinear Optical Materials Research (17 papers), Berberine and alkaloids research (13 papers) and Molecular spectroscopy and chirality (9 papers). Sudha Jain is often cited by papers focused on Nonlinear Optical Materials Research (17 papers), Berberine and alkaloids research (13 papers) and Molecular spectroscopy and chirality (9 papers). Sudha Jain collaborates with scholars based in India, Nepal and United Kingdom. Sudha Jain's co-authors include Dewan S. Bhakuni, Poonam Tandon, Neeraj Misra, Anubha Srivastava, Bhawani Datt Joshi, Anoop Kumar Pandey, Ambrish Kumar Srivastava, Sandeep Gupta, Shamoon Ahmad Siddiqui and Alejandro Pedro Ayala and has published in prestigious journals such as SHILAP Revista de lepidopterología, Tetrahedron and Phytochemistry.

In The Last Decade

Sudha Jain

79 papers receiving 665 citations

Author Peers

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

Author						Papers	Cites
Sudha Jain	233	210	105	105	102	79	702
Aarre Huhtikangas	176 0.8×	245 1.2×	197 1.9×	57 0.5×	65 0.6×	67	855
Gabriel Llabrès	317 1.4×	108 0.5×	58 0.6×	64 0.6×	93 0.9×	52	862
Aurangzeb Hasan	291 1.2×	254 1.2×	146 1.4×	50 0.5×	57 0.6×	37	808
V. Zabel	311 1.3×	248 1.2×	86 0.8×	47 0.4×	60 0.6×	46	808
Vivek Chandramohan	201 0.9×	237 1.1×	76 0.7×	59 0.6×	88 0.9×	49	790
Antônio Maia de Jesus Chaves Neto	167 0.7×	115 0.5×	104 1.0×	69 0.7×	45 0.4×	98	711
Xiangjun Shi	260 1.1×	134 0.6×	80 0.8×	128 1.2×	56 0.5×	46	858
Manuel González‐Sierra	295 1.3×	142 0.7×	90 0.9×	38 0.4×	43 0.4×	46	639
Wen-Jie Lu	238 1.0×	326 1.6×	74 0.7×	93 0.9×	43 0.4×	86	847
Manik Ghosh	129 0.6×	264 1.3×	117 1.1×	32 0.3×	80 0.8×	78	906

Countries citing papers authored by Sudha Jain

Since Specialization

Citations

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

Fields of papers citing papers by Sudha Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudha Jain

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