Shakeel U.R. Mir

11 total papers · 637 total citations
11 papers, 497 citations indexed

About

Shakeel U.R. Mir is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shakeel U.R. Mir has authored 11 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shakeel U.R. Mir's work include Pharmacological Receptor Mechanisms and Effects (4 papers), Pancreatic function and diabetes (3 papers) and Glutathione Transferases and Polymorphisms (2 papers). Shakeel U.R. Mir is often cited by papers focused on Pharmacological Receptor Mechanisms and Effects (4 papers), Pancreatic function and diabetes (3 papers) and Glutathione Transferases and Polymorphisms (2 papers). Shakeel U.R. Mir collaborates with scholars based in United States. Shakeel U.R. Mir's co-authors include Rolf J. Craven, Brandon Griess, Melissa Teoh-Fitzgerald, Kaustubh Datta, Nora Sarvetnick, Nicholas M. George, Ikhlas Ahmed, Susanne M. Arnold, Robert Z. Harms and Ling Jin and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Free Radical Biology and Medicine.

In The Last Decade

Shakeel U.R. Mir

11 papers receiving 495 citations

Author Peers

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

Author						Papers	Cites
Shakeel U.R. Mir	232	120	101	93	75	11	497
Keiji Tanigaki	244 1.1×	150 1.3×	97 1.0×	83 0.9×	82 1.1×	17	541
Gordon R. Pfeiffer	321 1.4×	93 0.8×	33 0.3×	91 1.0×	94 1.3×	12	617
David S. Calnek	342 1.5×	52 0.4×	59 0.6×	72 0.8×	48 0.6×	12	607
Mareva Foster	153 0.7×	97 0.8×	50 0.5×	158 1.7×	61 0.8×	14	570
Peifen Cai	345 1.5×	178 1.5×	99 1.0×	44 0.5×	42 0.6×	11	566
Hyelin Na	350 1.5×	88 0.7×	120 1.2×	37 0.4×	67 0.9×	13	568
Doris Stoll	152 0.7×	109 0.9×	159 1.6×	94 1.0×	27 0.4×	12	507
Alena Nareika	188 0.8×	186 1.6×	82 0.8×	50 0.5×	29 0.4×	12	537
Takashi Shimojo	234 1.0×	120 1.0×	33 0.3×	64 0.7×	35 0.5×	13	576
Wan-Ru Lee	276 1.2×	47 0.4×	46 0.5×	186 2.0×	78 1.0×	12	511

Countries citing papers authored by Shakeel U.R. Mir

Since Specialization

Citations

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

Fields of papers citing papers by Shakeel U.R. Mir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shakeel U.R. Mir. 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 Shakeel U.R. Mir. The network helps show where Shakeel U.R. Mir may publish in the future.

Co-authorship network of co-authors of Shakeel U.R. Mir

This figure shows the co-authorship network connecting the top 25 collaborators of Shakeel U.R. Mir. A scholar is included among the top collaborators of Shakeel U.R. Mir 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 Shakeel U.R. Mir. Shakeel U.R. Mir 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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