Ishnoor Kaur

1.4k citations
34 papers · 914 indexed · h-index 18
Topics
Alzheimer's disease research and treatments (9 papers)Computational Drug Discovery Methods (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)
Journals
SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentChemosphere
Partner nations
IndiaRomaniaSaudi Arabia

In The Last Decade

Ishnoor Kaur

34 papers receiving 902 citations

Peers

Ishnoor Kaur
Comparison fields: 5 of 147
  • Molecular Biology 220
  • Physiology 128
  • Infectious Diseases 119
  • Pharmacology 96
  • Neurology 79
Replace Muhammad Y. Al‐Shorbagy with:
Muhammad Y. Al‐Shorbagy Egypt
Ritushree Kukreti India
Dhivya Venkatesan India
Yi-Fang Li China
Huaqiao Wang China
Mihai Munteanu Romania
Mayuren Candasamy Malaysia
Xiuhua Zhang China
Rahim Ullah Pakistan
Aiping Lyu Hong Kong
Ishnoor Kaur relative to Muhammad Y. Al‐Shorbagy Egypt Muhammad Y. Al‐Shorbagy's profile →
Citations per field
00.5×3.8×
Muhammad Y. Al‐Shorbagy · 1×
Citations per year

Countries citing papers authored by Ishnoor Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Ishnoor Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ishnoor Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Ishnoor Kaur. A scholar is included among the top collaborators of Ishnoor Kaur 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 Ishnoor Kaur. Ishnoor Kaur 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 10
2 2
3 5
4 7
5 17
6 7
7 37
8 38
9 10
10 37
11 46
12 30
13 75
14 25
15 14
16 52
17 5
18 58
19 79
20 35

About Ishnoor Kaur

Ishnoor Kaur is a scholar working on Biological Psychiatry, Health Informatics and Aging, having authored 34 papers that have together received 914 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Computational Drug Discovery Methods (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Biological Psychiatry (52 citations), Neurology (65 citations) and Health Informatics (9 citations). Ishnoor Kaur has collaborated with scholars based in India, Romania and Saudi Arabia. Frequent co-authors include Tapan Behl, Simona Bungău, Aayush Sehgal, Arun Kumar, Sukhbir Singh, Saurabh Bhatia, Neelam Sharma, Lotfi Aleya, Ahmed Al‐Harrasi and Sandeep Arora. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Chemosphere.

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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