Neelima Shah

49 total papers · 425 total citations
9 papers, 314 citations indexed

About

Neelima Shah is a scholar working on Molecular Biology, Cell Biology and Infectious Diseases. According to data from OpenAlex, Neelima Shah has authored 9 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cell Biology and 1 paper in Infectious Diseases. Recurrent topics in Neelima Shah's work include Cellular transport and secretion (2 papers), Inflammatory mediators and NSAID effects (1 paper) and Protease and Inhibitor Mechanisms (1 paper). Neelima Shah is often cited by papers focused on Cellular transport and secretion (2 papers), Inflammatory mediators and NSAID effects (1 paper) and Protease and Inhibitor Mechanisms (1 paper). Neelima Shah collaborates with scholars based in United States and Thailand. Neelima Shah's co-authors include David B. Weiner, Kesen Dang, Leonard Jarett, Panyupa Pankhong, Michael A. Chattergoon, Mathura P. Ramanathan, Alexander J. Muller, Reinhard Grzanna, Arthur Roach and Judith F. Baker and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Neelima Shah

9 papers receiving 309 citations

Author Peers

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

Author						Papers	Cites
Neelima Shah	117	76	66	59	54	9	314
Saule Nurmukhambetova	108 0.9×	52 0.7×	80 1.2×	17 0.3×	39 0.7×	12	276
Randolph B. Lyde	92 0.8×	34 0.4×	56 0.8×	33 0.6×	22 0.4×	14	293
Gaël Vidricaire	139 1.2×	27 0.4×	66 1.0×	75 1.3×	64 1.2×	8	355
Michelle Lin	85 0.7×	74 1.0×	96 1.5×	12 0.2×	52 1.0×	7	351
Evan Meyer	109 0.9×	143 1.9×	63 1.0×	11 0.2×	17 0.3×	14	345
Anke Harenberg	124 1.1×	94 1.2×	142 2.2×	92 1.6×	31 0.6×	9	360
Angela Elvira Covone	137 1.2×	22 0.3×	44 0.7×	37 0.6×	11 0.2×	14	319
Elizabeth Rivers	156 1.3×	14 0.2×	95 1.4×	19 0.3×	45 0.8×	12	308
Thomas J. Athanassiades	121 1.0×	13 0.2×	62 0.9×	17 0.3×	35 0.6×	16	341
L. Neff	127 1.1×	19 0.3×	103 1.6×	17 0.3×	33 0.6×	13	335

Countries citing papers authored by Neelima Shah

Since Specialization

Citations

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

Fields of papers citing papers by Neelima Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neelima Shah

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