Ashima Saxena

3.8k citations
102 papers · 3.1k indexed · h-index 33
Topics
Cholinesterase and Neurodegenerative Diseases (82 papers)Pesticide Exposure and Toxicity (63 papers)Computational Drug Discovery Methods (42 papers)
Partner nations
United StatesItalyIsrael

In The Last Decade

Ashima Saxena

101 papers receiving 3.0k citations

Peers

Ashima Saxena
Comparison fields: 5 of 125
  • Pharmacology 2.1k
  • Plant Science 1.4k
  • Computational Theory and Mathematics 961
  • Molecular Biology 723
  • Organic Chemistry 643
Replace Chanoch Kronman with:
Chanoch Kronman Israel
Jure Stojan Slovenia
Hay Dvir Israel
C. Sadasivan India
William L. Alworth United States
Mithun Rudrapal India
Zhili Zuo China
Ashok Sharma India
Sobia Ahsan Halim Pakistan
Jiacai Yi China
Ashima Saxena relative to Chanoch Kronman Israel Chanoch Kronman's profile →
Citations per field
00.5×1.5×2.2×
Chanoch Kronman · 1×
Citations per year

Countries citing papers authored by Ashima Saxena

Since Specialization
Citations

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

Fields of papers citing papers by Ashima Saxena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashima Saxena

This figure shows the co-authorship network connecting the top 25 collaborators of Ashima Saxena. A scholar is included among the top collaborators of Ashima Saxena 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 Ashima Saxena. Ashima Saxena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 9
3 39
4 15
5 37
6 34
7 43
8 13
9 11
10 22
11 35
12 10
13 39
14 64
15 98
16 16
17 90
18 55
19 61
20 40

About Ashima Saxena

Ashima Saxena is a scholar working on Pharmacology, Computational Theory and Mathematics and Plant Science, having authored 102 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (82 papers), Pesticide Exposure and Toxicity (63 papers) and Computational Drug Discovery Methods (42 papers). The work is most often cited by research in Pharmacology (2.1k citations), Computational Theory and Mathematics (961 citations) and Plant Science (1.4k citations). Ashima Saxena has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Bhupendra P. Doctor, Chunyuan Luo, Oksana Lockridge, Wei Sun, Giuseppe Campiani, Xuliang Jiang, Donald M. Maxwell, Alan P. Kozikowski, Yacov Ashani and Zoran Radić. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Biochemistry.

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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