Divya Krishnamurthy

889 citations
19 papers · 766 · h-index 13

Impact in

Papers in

    • Protein Tyrosine Phosphatases 7
    • Glycosylation and Glycoproteins Research 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Galectins and Cancer Biology 6

Divya Krishnamurthy

18 papers receiving 755 citations

Peers

Divya Krishnamurthy
Comparison fields: 5 of 87
  • Biological Psychiatry 99
  • Inorganic Chemistry 173
  • Behavioral Neuroscience 27
  • Oncology 147
  • Psychiatry and Mental health 70
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Citations per field
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Citations per year

Countries citing papers authored by Divya Krishnamurthy

Since Specialization
Citations

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

Fields of papers citing papers by Divya Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Divya Krishnamurthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Divya Krishnamurthy Line = papers co-authored together Divya Krishnamurthy links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2011118
2 2008107
3 2001100
4 201280
5 200965
6 201147
7 200646
8 201244
9 201036
10 201130
11 200524
12 200922
13 200919
14 201310
15 20029
16 20136
17 20182
18 20171
19
Reactions of 1,3,5-benzenetricarboxylic acid with Zn(II) ion in the presence of added amines: Isolation and structure determination of zinc coordination polymers with tetrahedral and octahedral zinc centres §,†
20030

About Divya Krishnamurthy

Divya Krishnamurthy is a scholar working on Molecular Biology, Immunology, Inorganic Chemistry, Oncology and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 766 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (7 papers), Galectins and Cancer Biology (6 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), Magnetism in coordination complexes (3 papers), Glycosylation and Glycoproteins Research (2 papers), Adrenal Hormones and Disorders (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Metal-Catalyzed Oxygenation Mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (99 citations), Inorganic Chemistry (173 citations), Behavioral Neuroscience (27 citations), Oncology (147 citations) and Psychiatry and Mental health (70 citations). Divya Krishnamurthy has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Amy Barrios, Nunzio Bottini, Mark R. Karver, Ramaswamy Murugavel, Malaichamy Sathiyendiran, Paul C. Guest, Sabine Bahn, Laura W. Harris, Hassan Rahmoune and Stephanie M. Stanford. Their work appears in journals such as Journal of Medicinal Chemistry, Psychoneuroendocrinology, The Annual Review of Pharmacology and Toxicology, Advances in experimental medicine and biology and PROTEOMICS.

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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