Maithili Sashindranath

1.6k total citations
37 papers, 1.1k citations indexed

About

Maithili Sashindranath is a scholar working on Molecular Biology, Neurology and Epidemiology. According to data from OpenAlex, Maithili Sashindranath has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Neurology and 9 papers in Epidemiology. Recurrent topics in Maithili Sashindranath's work include Traumatic Brain Injury and Neurovascular Disturbances (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Cutaneous Melanoma Detection and Management (6 papers). Maithili Sashindranath is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Cutaneous Melanoma Detection and Management (6 papers). Maithili Sashindranath collaborates with scholars based in Australia, United States and Sweden. Maithili Sashindranath's co-authors include Robert L. Medcalf, Maria Daglas, Dominik F. Draxler, Harshal Nandurkar, David Wright, Leigh A. Johnston, Heidi Ho, Adam Galle, Nigel C. Jones and Terence J. O’Brien and has published in prestigious journals such as Brain, Stroke and Scientific Reports.

In The Last Decade

Maithili Sashindranath

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maithili Sashindranath Australia 20 347 314 230 192 115 37 1.1k
Falin Xu China 18 440 1.3× 188 0.6× 285 1.2× 165 0.9× 84 0.7× 64 1.8k
Min‐Yu Lan Taiwan 19 369 1.1× 241 0.8× 210 0.9× 144 0.8× 109 0.9× 58 1.1k
Fabia Gamboni United States 18 352 1.0× 141 0.4× 85 0.4× 71 0.4× 130 1.1× 44 1.2k
Halina Bartosik-Psujek Poland 21 271 0.8× 212 0.7× 159 0.7× 187 1.0× 57 0.5× 116 1.3k
Sophie Stukas Canada 23 454 1.3× 438 1.4× 266 1.2× 198 1.0× 85 0.7× 47 1.5k
Mary S. Lange United States 16 313 0.9× 198 0.6× 94 0.4× 192 1.0× 58 0.5× 22 1.2k
Brian E. Mace United States 23 766 2.2× 251 0.8× 166 0.7× 287 1.5× 105 0.9× 44 2.2k
Alba Simats Spain 17 474 1.4× 142 0.5× 359 1.6× 386 2.0× 28 0.2× 35 1.1k
Rodica Bălașa Romania 16 276 0.8× 271 0.9× 116 0.5× 191 1.0× 32 0.3× 111 1.0k
Nicolás Vila Spain 10 233 0.7× 197 0.6× 423 1.8× 432 2.3× 52 0.5× 11 1.1k

Countries citing papers authored by Maithili Sashindranath

Since Specialization
Citations

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

Fields of papers citing papers by Maithili Sashindranath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maithili Sashindranath

This figure shows the co-authorship network connecting the top 25 collaborators of Maithili Sashindranath. A scholar is included among the top collaborators of Maithili Sashindranath 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 Maithili Sashindranath. Maithili Sashindranath 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
1.
Primiero, Clare, Brigid Betz‐Stablein, Yaniv Gal, et al.. (2025). Multi‐task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosis. Journal of the European Academy of Dermatology and Venereology. 39(12). 2121–2133. 1 indexed citations
2.
Yu, Zhen, Lie Ju, Yaniv Gal, et al.. (2025). Hierarchical skin lesion image classification with prototypical decision tree. npj Digital Medicine. 8(1). 26–26.
3.
Selan, Carly, David Wright, Robert Brkljača, et al.. (2025). Endothelial -targeted CD39 is protective in a mouse model of global forebrain ischaemia. Journal of Neuroinflammation. 22(1). 115–115. 1 indexed citations
4.
Sashindranath, Maithili, et al.. (2024). Examining labelling guidelines for AI‐based software as a medical device: A review and analysis of dermatology mobile applications in Australia. Australasian Journal of Dermatology. 65(5). 409–422. 2 indexed citations
5.
Sashindranath, Maithili, Robert E. Miller, H. Peter Soyer, et al.. (2024). Minimum labelling requirements for dermatology artificial intelligence‐based Software as Medical Device (SaMD): A consensus statement. Australasian Journal of Dermatology. 65(3). e21–e29. 3 indexed citations
6.
Selan, Carly, David Wright, Robert Brkljača, et al.. (2024). Development of endothelial-targeted CD39 as a therapy for ischemic stroke. Journal of Thrombosis and Haemostasis. 22(8). 2331–2344. 1 indexed citations
7.
Cust, Anne Ε., Pablo Fernández‐Peñas, Graham J. Mann, et al.. (2023). ACEMID cohort study: protocol of a prospective cohort study using 3D total body photography for melanoma imaging and diagnosis. BMJ Open. 13(9). e072788–e072788. 11 indexed citations
8.
Nandurkar, Harshal, et al.. (2022). The potential role of protease systems in hemophilic arthropathy. Blood Advances. 6(18). 5505–5515. 7 indexed citations
9.
Yu, Zhen, Maithili Sashindranath, Brigid Betz‐Stablein, et al.. (2022). Assessing the Generalizability of Deep Learning Models Trained on Standardized and Nonstandardized Images and Their Performance Against Teledermatologists: Retrospective Comparative Study. JMIR Dermatology. 5(3). e35150–e35150. 6 indexed citations
10.
Noonan, Jonathan, Abbey Willcox, Smitha R. Georgy, et al.. (2021). Early Endothelial Activation in a Mouse Model of Graft vs Host Disease Following Chemotherapy. Frontiers in Immunology. 12. 708554–708554.
11.
Ong, Lin Kooi, Prajwal Gyawali, Che Mohd Nasril Che Mohd Nassir, et al.. (2021). Role of Purinergic Signalling in Endothelial Dysfunction and Thrombo-Inflammation in Ischaemic Stroke and Cerebral Small Vessel Disease. Biomolecules. 11(7). 994–994. 37 indexed citations
12.
Draxler, Dominik F., Milena M. Awad, Maria Daglas, et al.. (2019). Tranexamic Acid Influences the Immune Response, but not Bacterial Clearance in a Model of Post-Traumatic Brain Injury Pneumonia. Journal of Neurotrauma. 36(23). 3297–3308. 21 indexed citations
13.
Draxler, Dominik F., Maria Daglas, Heidi Ho, et al.. (2019). Tranexamic acid modulates the immune response and reduces postsurgical infection rates. Blood Advances. 3(10). 1598–1609. 79 indexed citations
14.
Sashindranath, Maithili, Sharelle A. Sturgeon, Shauna L. French, et al.. (2019). The mode of anesthesia influences outcome in mouse models of arterial thrombosis. Research and Practice in Thrombosis and Haemostasis. 3(2). 197–206. 14 indexed citations
15.
Tan, Xin, Mujun Sun, Rhys D. Brady, et al.. (2018). Transactive Response DNA-Binding Protein 43 Abnormalities after Traumatic Brain Injury. Journal of Neurotrauma. 36(1). 87–99. 24 indexed citations
16.
Sashindranath, Maithili, Karen M. Dwyer, Carly Selan, et al.. (2017). Development of a novel strategy to target CD39 antithrombotic activity to the endothelial-platelet microenvironment in kidney ischemia–reperfusion injury. Purinergic Signalling. 13(2). 259–265. 16 indexed citations
17.
Dwyer, Karen M., Carly Selan, Susanna Freddi, et al.. (2017). CD39 and CD73 activity are protective in a mouse model of antiphospholipid antibody-induced miscarriages. Journal of Autoimmunity. 88. 131–138. 25 indexed citations
18.
Larsson, P., Imala Alwis, Be׳eri Niego, et al.. (2016). Valproic acid selectively increases vascular endothelial tissue‐type plasminogen activator production and reduces thrombus formation in the mouse. Journal of Thrombosis and Haemostasis. 14(12). 2496–2508. 31 indexed citations
19.
Sashindranath, Maithili, Maria Daglas, & Robert L. Medcalf. (2015). Evaluation of gait impairment in mice subjected to craniotomy and traumatic brain injury. Behavioural Brain Research. 286. 33–38. 40 indexed citations
20.
Crack, Peter J., Moses Zhang, Maria Cristina Morganti-Kossmann, et al.. (2014). Anti-lysophosphatidic acid antibodies improve traumatic brain injury outcomes. Journal of Neuroinflammation. 11(1). 37–37. 74 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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