Meeta Sharma

31 total papers · 535 total citations
16 papers, 366 citations indexed

About

Meeta Sharma is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Meeta Sharma has authored 16 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Surgery and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Meeta Sharma's work include Pituitary Gland Disorders and Treatments (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers) and Diabetes Management and Research (3 papers). Meeta Sharma is often cited by papers focused on Pituitary Gland Disorders and Treatments (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers) and Diabetes Management and Research (3 papers). Meeta Sharma collaborates with scholars based in United States and India. Meeta Sharma's co-authors include Leonard Wartofsky, Kenneth D. Burman, Mary Lee Vance, Richard V. Clark, Lawrence S. Phillips, Richard J. Robbins, Janet Schlechte, Andrew R. Hoffman, E. Chester Ridgway and Howard B. A. Baum and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Thyroid.

In The Last Decade

Meeta Sharma

13 papers receiving 348 citations

Author Peers

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

Author						Papers	Cites
Meeta Sharma	192	106	66	57	45	16	366
Parviz Karimi	23 0.1×	59 0.6×	64 1.0×	25 0.4×	9 0.2×	24	335
Theodoros Pittaras	17 0.1×	95 0.9×	34 0.5×	49 0.9×	37 0.8×	16	313
Claudine M. Baldwin	14 0.1×	67 0.6×	40 0.6×	10 0.2×	21 0.5×	11	355
Kuan‐Yu Chen	53 0.3×	17 0.2×	90 1.4×	7 0.1×	37 0.8×	17	349
Εpameinondas Zakynthinos	9 0.0×	119 1.1×	44 0.7×	41 0.7×	40 0.9×	20	388
José-Luis Pérez-Castrillón	18 0.1×	67 0.6×	48 0.7×	26 0.5×	3 0.1×	20	295
Carmen Ferrándiz‐Millón	14 0.1×	39 0.4×	24 0.4×	16 0.3×	13 0.3×	7	383
Liselotte Bruun Christiansen	23 0.1×	22 0.2×	110 1.7×	16 0.3×	69 1.5×	25	379
Wen-Kuang Yu	14 0.1×	16 0.2×	58 0.9×	16 0.3×	20 0.4×	25	313
M. Badia	8 0.0×	102 1.0×	32 0.5×	24 0.4×	6 0.1×	14	361

Countries citing papers authored by Meeta Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Meeta Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meeta Sharma

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