Subrata Deb Nath

57 total papers · 1.3k total citations
43 papers, 1.1k citations indexed

About

Subrata Deb Nath is a scholar working on Mechanical Engineering, Automotive Engineering and Nephrology. According to data from OpenAlex, Subrata Deb Nath has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanical Engineering, 9 papers in Automotive Engineering and 6 papers in Nephrology. Recurrent topics in Subrata Deb Nath's work include Additive Manufacturing Materials and Processes (11 papers), Additive Manufacturing and 3D Printing Technologies (9 papers) and High Entropy Alloys Studies (8 papers). Subrata Deb Nath is often cited by papers focused on Additive Manufacturing Materials and Processes (11 papers), Additive Manufacturing and 3D Printing Technologies (9 papers) and High Entropy Alloys Studies (8 papers). Subrata Deb Nath collaborates with scholars based in United States, Türkiye and South Korea. Subrata Deb Nath's co-authors include Byong‐Taek Lee, Sundar V. Atre, Celine Abueva, Boram Kim, Fatma G. Huffman, H. Özkan Gülsoy, Gautam Gupta, Young Ki Min, So‐Ra Son and Martin Kearns and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The FASEB Journal and Journal of the American Society of Nephrology.

In The Last Decade

Subrata Deb Nath

40 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Subrata Deb Nath	288	179	153	149	146	43	1.1k
Deeksha Pal	149 0.5×	140 0.8×	50 0.3×	80 0.5×	53 0.4×	43	1.3k
Simiao Tian	154 0.5×	291 1.6×	331 2.2×	21 0.1×	68 0.5×	35	1.1k
Xiaoduo Zhao	224 0.8×	331 1.8×	230 1.5×	27 0.2×	54 0.4×	63	1.4k
Xuewen Yu	49 0.2×	90 0.5×	55 0.4×	56 0.4×	59 0.4×	106	1.3k
Ke Zheng	64 0.2×	128 0.7×	45 0.3×	60 0.4×	109 0.7×	92	1.1k
Andrea C.D. Rodas	84 0.3×	354 2.0×	342 2.2×	32 0.2×	107 0.7×	39	1.3k
Josep Puig	43 0.1×	79 0.4×	220 1.4×	37 0.2×	85 0.6×	55	1.2k
Lei Yang	113 0.4×	220 1.2×	215 1.4×	14 0.1×	73 0.5×	71	1.4k
Wen‐Ping Jiang	186 0.6×	142 0.8×	58 0.4×	17 0.1×	39 0.3×	57	1.2k
Yuri Kim	54 0.2×	162 0.9×	96 0.6×	50 0.3×	18 0.1×	46	993

Countries citing papers authored by Subrata Deb Nath

Since Specialization

Citations

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

Fields of papers citing papers by Subrata Deb Nath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subrata Deb Nath. 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 Subrata Deb Nath. The network helps show where Subrata Deb Nath may publish in the future.

Co-authorship network of co-authors of Subrata Deb Nath

This figure shows the co-authorship network connecting the top 25 collaborators of Subrata Deb Nath. A scholar is included among the top collaborators of Subrata Deb Nath 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 Subrata Deb Nath. Subrata Deb Nath 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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