Ashish Saini

39 total papers · 689 total citations
27 papers, 541 citations indexed

About

Ashish Saini is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Rheumatology. According to data from OpenAlex, Ashish Saini has authored 27 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Rheumatology. Recurrent topics in Ashish Saini's work include Bioinformatics and Genomic Networks (6 papers), Gene expression and cancer classification (4 papers) and Urologic and reproductive health conditions (3 papers). Ashish Saini is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Gene expression and cancer classification (4 papers) and Urologic and reproductive health conditions (3 papers). Ashish Saini collaborates with scholars based in India, United States and Australia. Ashish Saini's co-authors include Ian R. Hart, Amlesh Seth, Shiekh Tanveer Ahmad, Wani Arjumand, Sarwat Sultana, P.N. Dogra, N. B. Mathur, Amit Saraswat, Jingyu Hou and Tarun Mishra and has published in prestigious journals such as The Lancet, BioMed Research International and Urology.

In The Last Decade

Ashish Saini

25 papers receiving 527 citations

Author Peers

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

Author						Papers	Cites
Ashish Saini	262	147	122	105	79	27	541
Yexun Song	210 0.8×	97 0.7×	121 1.0×	93 0.9×	54 0.7×	31	479
Osamu Okochi	205 0.8×	184 1.3×	117 1.0×	72 0.7×	61 0.8×	26	518
Rina Ohashi	161 0.6×	118 0.8×	78 0.6×	118 1.1×	37 0.5×	21	466
Elvira Mustać	167 0.6×	154 1.0×	114 0.9×	142 1.4×	22 0.3×	37	458
Luis Barneo	172 0.7×	174 1.2×	68 0.6×	122 1.2×	53 0.7×	31	609
Kelly M. Bailey	275 1.0×	176 1.2×	114 0.9×	132 1.3×	28 0.4×	30	544
Guo‐Kang Fan	237 0.9×	213 1.4×	92 0.8×	57 0.5×	35 0.4×	28	558
Masuo Hanada	327 1.2×	154 1.0×	60 0.5×	248 2.4×	30 0.4×	25	567
David Cantor	204 0.8×	77 0.5×	57 0.5×	96 0.9×	49 0.6×	19	526
G Méthlin	150 0.6×	224 1.5×	179 1.5×	96 0.9×	73 0.9×	31	514

Countries citing papers authored by Ashish Saini

Since Specialization

Citations

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

Fields of papers citing papers by Ashish Saini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashish Saini

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