S. M. Natu

55 total papers · 842 total citations
35 papers, 627 citations indexed

About

S. M. Natu is a scholar working on Epidemiology, Rheumatology and Molecular Biology. According to data from OpenAlex, S. M. Natu has authored 35 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 7 papers in Rheumatology and 6 papers in Molecular Biology. Recurrent topics in S. M. Natu's work include Osteoarthritis Treatment and Mechanisms (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Prostate Cancer Treatment and Research (3 papers). S. M. Natu is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Prostate Cancer Treatment and Research (3 papers). S. M. Natu collaborates with scholars based in India, United States and Switzerland. S. M. Natu's co-authors include Abhishek Mishra, Neena Srivastava, Rakesh K. Srivastava, Sarita Agarwal, Ajai Singh, C. G. Agarwal, Pushpa Tandon, Shally Awasthi, Apul Goel and Balraj Mittal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Orthopaedics and Related Research and Annals of the Rheumatic Diseases.

In The Last Decade

S. M. Natu

34 papers receiving 589 citations

Author Peers

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

Author						Papers	Cites
S. M. Natu	128	109	99	88	85	35	627
Maria Fatima Massenti	96 0.8×	139 1.3×	116 1.2×	78 0.9×	87 1.0×	25	570
Lin Li	144 1.1×	201 1.8×	64 0.6×	64 0.7×	28 0.3×	32	660
Ana Valeria Castro	100 0.8×	146 1.3×	183 1.8×	58 0.7×	53 0.6×	39	730
Chunhong Fan	77 0.6×	166 1.5×	76 0.8×	32 0.4×	78 0.9×	38	634
Emõke Endreffy	95 0.7×	142 1.3×	67 0.7×	25 0.3×	112 1.3×	38	693
Xiaojing Liu	125 1.0×	180 1.7×	142 1.4×	55 0.6×	29 0.3×	43	727
Fatemeh Mohseni	69 0.5×	77 0.7×	60 0.6×	26 0.3×	84 1.0×	46	664
Taner Erselcan	107 0.8×	51 0.5×	133 1.3×	33 0.4×	76 0.9×	41	768
Xiaohua Fu	125 1.0×	164 1.5×	150 1.5×	60 0.7×	18 0.2×	55	671
Mehtap Bozkurt	62 0.5×	106 1.0×	37 0.4×	76 0.9×	127 1.5×	49	639

Countries citing papers authored by S. M. Natu

Since Specialization

Citations

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

Fields of papers citing papers by S. M. Natu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. M. Natu. 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 S. M. Natu. The network helps show where S. M. Natu may publish in the future.

Co-authorship network of co-authors of S. M. Natu

This figure shows the co-authorship network connecting the top 25 collaborators of S. M. Natu. A scholar is included among the top collaborators of S. M. Natu 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 S. M. Natu. S. M. Natu 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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