Deepti Saini

35 total papers · 618 total citations
26 papers, 492 citations indexed

About

Deepti Saini is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Deepti Saini has authored 26 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Deepti Saini's work include Insect and Pesticide Research (4 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Plant and animal studies (4 papers). Deepti Saini is often cited by papers focused on Insect and Pesticide Research (4 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Plant and animal studies (4 papers). Deepti Saini collaborates with scholars based in United States, India and Malaysia. Deepti Saini's co-authors include Rajan Saini, Anshu Dandia, Sadeq Ali Al‐Maweri, Noorliza Mastura Ismail, Nataraju Angaswamy, Sanjay Awasthi, Ludwika Zimniak, Piotr Zimniak, Sharda P. Singh and Deepak Kumar Saini and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemistry and Transplantation.

In The Last Decade

Deepti Saini

26 papers receiving 478 citations

Author Peers

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

Author Last Decade Papers Cites
Deepti Saini 179 72 67 61 59 26 492
Peggy Tilly 138 0.8× 39 0.5× 52 0.8× 41 0.7× 25 0.4× 13 441
L. Leino 101 0.6× 53 0.7× 30 0.4× 34 0.6× 4 0.1× 32 536
Mark de Jong 249 1.4× 21 0.3× 97 1.4× 43 0.7× 6 0.1× 21 552
Ziqi Yue 231 1.3× 51 0.7× 37 0.6× 13 0.2× 10 0.2× 30 513
A Gindzieński 251 1.4× 41 0.6× 50 0.7× 24 0.4× 64 1.1× 57 461
Jorge Alonso Suárez‐Pérez 61 0.3× 22 0.3× 15 0.2× 10 0.2× 12 0.2× 17 487
Zhen Meng 164 0.9× 8 0.1× 19 0.3× 23 0.4× 22 0.4× 34 511
Hyemin Gu 159 0.9× 9 0.1× 40 0.6× 44 0.7× 6 0.1× 25 552
Xi Yang 152 0.8× 153 2.1× 37 0.6× 18 0.3× 20 0.3× 31 480
Jer‐Yuh Liu 190 1.1× 78 1.1× 17 0.3× 20 0.3× 14 0.2× 19 457

Countries citing papers authored by Deepti Saini

Since Specialization
Citations

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

Fields of papers citing papers by Deepti Saini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepti Saini

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