Durga Jha

555 total citations
16 papers, 286 citations indexed

About

Durga Jha is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Durga Jha has authored 16 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Physiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Durga Jha's work include Alzheimer's disease research and treatments (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Durga Jha is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Durga Jha collaborates with scholars based in India, United Kingdom and United States. Durga Jha's co-authors include Utpal Kumar Biswas, Mohan Mishra, Vijay Kumar Garlapati, Anil Kant, Kaj Blennow, Jörg Hanrieder, Henrik Zetterberg, Melvin George, Junyue Ge and Thilagavathi Ramamoorthy and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Durga Jha

14 papers receiving 278 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Durga Jha India 8 105 75 67 60 33 16 286
Sofía Carbajosa Spain 8 95 0.9× 82 1.1× 129 1.9× 22 0.4× 6 0.2× 9 349
Anni Kauko Finland 12 41 0.4× 289 3.9× 25 0.4× 10 0.2× 13 0.4× 24 472
Keni Vidilaseris Finland 10 67 0.6× 153 2.0× 173 2.6× 3 0.1× 98 3.0× 25 319
Yasuhito Yamamoto Japan 10 62 0.6× 150 2.0× 34 0.5× 7 0.1× 16 0.5× 28 332
Itsuki Anzai Japan 10 21 0.2× 98 1.3× 22 0.3× 4 0.1× 37 1.1× 17 321
Lara Gales France 6 48 0.5× 104 1.4× 78 1.2× 5 0.1× 39 1.2× 8 161
Seonyoung Kim United States 9 31 0.3× 79 1.1× 31 0.5× 13 0.2× 26 0.8× 22 320
Gnanasekaran JebaMercy India 11 11 0.1× 137 1.8× 20 0.3× 6 0.1× 27 0.8× 15 305
A. Katz Israel 7 12 0.1× 170 2.3× 12 0.2× 40 0.7× 12 0.4× 9 347
W. Andrew Maxwell United States 12 32 0.3× 55 0.7× 122 1.8× 10 0.2× 4 0.1× 18 363

Countries citing papers authored by Durga Jha

Since Specialization
Citations

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

Fields of papers citing papers by Durga Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Durga Jha

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

All Works

16 of 16 papers shown
1.
Michno, Wojciech, Andrew P. Bowman, Durga Jha, et al.. (2024). Spatial Neurolipidomics at the Single Amyloid-β Plaque Level in Postmortem Human Alzheimer’s Disease Brain. ACS Chemical Neuroscience. 15(4). 877–888. 15 indexed citations
2.
Jha, Durga, Kaj Blennow, Henrik Zetterberg, Jeffrey N. Savas, & Jörg Hanrieder. (2024). Spatial neurolipidomics—MALDI mass spectrometry imaging of lipids in brain pathologies. Journal of Mass Spectrometry. 59(3). e5008–e5008. 17 indexed citations
3.
Ge, Junyue, Wojciech Michno, Ambra Dreos, et al.. (2023). Correlative Chemical Imaging and Spatial Chemometrics Delineate Alzheimer Plaque Heterogeneity at High Spatial Resolution. JACS Au. 3(3). 762–774. 9 indexed citations
4.
Ge, Junyue, Durga Jha, Maciej Dulewicz, et al.. (2023). Tetramodal Chemical Imaging Delineates the Lipid–Amyloid Peptide Interplay at Single Plaques in Transgenic Alzheimer’s Disease Models. Analytical Chemistry. 95(10). 4692–4702. 12 indexed citations
5.
6.
Jha, Durga, Tereza Váňová, Jan Raška, et al.. (2023). Single Cerebral Organoid Mass Spectrometry of Cell-Specific Protein and Glycosphingolipid Traits. Analytical Chemistry. 95(6). 3160–3167. 10 indexed citations
7.
Jha, Durga, et al.. (2023). Cooling hybrid/electric vehicle battery module: exploring the thermal potential of single evaporator Loop heat Pipe. Energy Sources Part A Recovery Utilization and Environmental Effects. 46(1). 689–705. 1 indexed citations
8.
Michno, Wojciech, Rafael Camacho, Christina E. Toomey, et al.. (2022). Chemical traits of cerebral amyloid angiopathy in familial British‐, Danish‐, and non‐Alzheimerʼs dementias. Journal of Neurochemistry. 163(3). 233–246. 6 indexed citations
9.
Ge, Junyue, Durga Jha, Kaj Blennow, et al.. (2022). Correlative Chemical Imaging Identifies Amyloid Peptide Signatures of Neuritic Plaques and Dystrophy in Human Sporadic Alzheimer's Disease. Brain Connectivity. 13(5). 297–306. 3 indexed citations
10.
Das, Anamika, et al.. (2020). Long Term Prognostic Utility of Matrix Metalloproteinase-9 in Patients with Acute Coronary Syndrome - A Systematic Review. Current Pharmaceutical Biotechnology. 22(11). 1482–1489. 3 indexed citations
11.
Jha, Durga, et al.. (2020). COMPARATIVE STUDY OF ANAEMIA CASES BASED ON PERIPHERAL BLOOD SMEARS AND CELL COUNTER GENERATED RED CELL INDICES. INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH. 32–34.
12.
George, Melvin, et al.. (2019). Clinical presentation and 2-year mortality outcomes in acute heart failure in a tertiary care hospital in South India: A retrospective cohort study. SHILAP Revista de lepidopterología. 8(2). 56–56. 3 indexed citations
13.
Jha, Durga, et al.. (2019). Factors which Influence the Levels of ST-2, Galectin-3 and MMP-9 in Acute Coronary Syndrome. Cardiovascular & Haematological Disorders - Drug Targets. 20(1). 64–73. 3 indexed citations
14.
Jha, Durga, et al.. (2018). Prognostic role of soluble ST2 in acute coronary syndrome with diabetes. European Journal of Clinical Investigation. 48(9). e12994–e12994. 22 indexed citations
15.
Jha, Durga, et al.. (2017). Microalgae‐based Pharmaceuticals and Nutraceuticals: An Emerging Field with Immense Market Potential. ChemBioEng Reviews. 4(4). 257–272. 71 indexed citations
16.
Mishra, Mohan, et al.. (1992). Amphotericin versus pentamidine in antimony-unresponsive kala-azar. The Lancet. 340(8830). 1256–1257. 111 indexed citations

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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