Vasantha Padma

1.7k total citations · 1 hit paper
22 papers, 964 citations indexed

About

Vasantha Padma is a scholar working on Epidemiology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Vasantha Padma has authored 22 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 13 papers in Neurology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Vasantha Padma's work include Acute Ischemic Stroke Management (15 papers), Intracerebral and Subarachnoid Hemorrhage Research (11 papers) and Neurosurgical Procedures and Complications (9 papers). Vasantha Padma is often cited by papers focused on Acute Ischemic Stroke Management (15 papers), Intracerebral and Subarachnoid Hemorrhage Research (11 papers) and Neurosurgical Procedures and Complications (9 papers). Vasantha Padma collaborates with scholars based in India, Canada and United States. Vasantha Padma's co-authors include Richard I. Aviv, Imanuel Dzialowski, Cheemun Lum, David Rodríguez‐Luna, Yolanda Silva, Dar Dowlatshahi, Jayanta Roy, Carlos S. Kase, Michael D. Hill and Rohit Bhatia and has published in prestigious journals such as Stroke, The Lancet Neurology and Critical Care Medicine.

In The Last Decade

Vasantha Padma

21 papers receiving 951 citations

Hit Papers

Prediction of haematoma growth and outcome in patients wi... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vasantha Padma India 12 707 683 66 65 55 22 964
Cumara B. O’Carroll United States 12 177 0.3× 215 0.3× 29 0.4× 55 0.8× 19 0.3× 58 494
Ismail A. Khatri Saudi Arabia 11 178 0.3× 207 0.3× 38 0.6× 71 1.1× 39 0.7× 57 571
Nadir Ali Syed Pakistan 13 301 0.4× 96 0.1× 34 0.5× 15 0.2× 39 0.7× 27 584
Leo Davies Australia 12 182 0.3× 166 0.2× 28 0.4× 19 0.3× 18 0.3× 18 340
G Tacconi Italy 10 705 1.0× 201 0.3× 13 0.2× 14 0.2× 190 3.5× 13 1.0k
Jennifer Kosty United States 14 232 0.3× 142 0.2× 8 0.1× 16 0.2× 18 0.3× 41 484
Paolo Immovilli Italy 13 376 0.5× 80 0.1× 83 1.3× 14 0.2× 378 6.9× 44 837
P Humphrey United Kingdom 14 246 0.3× 318 0.5× 50 0.8× 16 0.2× 10 0.2× 25 587
Akshay Avula United States 9 503 0.7× 95 0.1× 32 0.5× 8 0.1× 30 0.5× 27 743
Krešimir Rotim Croatia 13 164 0.2× 82 0.1× 28 0.4× 8 0.1× 43 0.8× 77 514

Countries citing papers authored by Vasantha Padma

Since Specialization
Citations

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

Fields of papers citing papers by Vasantha Padma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasantha Padma

This figure shows the co-authorship network connecting the top 25 collaborators of Vasantha Padma. A scholar is included among the top collaborators of Vasantha Padma 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 Vasantha Padma. Vasantha Padma 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.
Pensato, Umberto, Kõji Tanaka, Johanna M. Ospel, et al.. (2024). Validation of the Black-&-White sign to predict intracerebral hematoma expansion in the multi-center PREDICT study cohort. International Journal of Stroke. 20(6). 721–730. 2 indexed citations
2.
Krysko, Kristen M., Ruth Dobson, Raed Alroughani, et al.. (2023). Family planning considerations in people with multiple sclerosis. The Lancet Neurology. 22(4). 350–366. 54 indexed citations
3.
Hackett, Maree L., Catherine Elizabeth Lightbody, Rachel Georgiou, et al.. (2021). Stroke in India: a systematic review of the burden (incidence, prevalence) outcome including case fatality. CLOK (University of Central Lancashire). 2 indexed citations
4.
Yogendrakumar, Vignan, Eric E. Smith, Andrew M. Demchuk, et al.. (2018). Lack of Early Improvement Predicts Poor Outcome Following Acute Intracerebral Hemorrhage. Critical Care Medicine. 46(4). e310–e317. 10 indexed citations
6.
Yogendrakumar, Vignan, Andrew M. Demchuk, Richard I. Aviv, et al.. (2017). Location of intracerebral haemorrhage predicts haematoma expansion. European Stroke Journal. 2(3). 257–263. 10 indexed citations
7.
Dowlatshahi, Dar, Richard I. Aviv, David Rodríguez‐Luna, et al.. (2017). Do Intracerebral Hemorrhage Nonexpanders Actually Expand Into the Ventricular Space?. Stroke. 49(1). 201–203. 14 indexed citations
8.
Padma, Vasantha, Rohit Bhatia, K.K. Talwar, et al.. (2016). A call for neurologists to take up stroke intervention. Annals of Indian Academy of Neurology. 19(4). 429–432. 1 indexed citations
10.
Blacquière, Dylan, Andrew M. Demchuk, William Petrcich, et al.. (2015). Intracerebral Hematoma Morphologic Appearance on Noncontrast Computed Tomography Predicts Significant Hematoma Expansion. Stroke. 46(11). 3111–3116. 99 indexed citations
11.
Rodríguez‐Luna, David, Dar Dowlatshahi, Jayme C. Kosior, et al.. (2015). Perihematomal Edema Is Greater in the Presence of a Spot Sign but Does Not Predict Intracerebral Hematoma Expansion. Stroke. 47(2). 350–355. 20 indexed citations
12.
Chandra, P. Sarat, Chandra Sekhar Bal, Madhavi Tripathi, et al.. (2014). Role of concordance between ictal-subtracted SPECT and PET in predicting long-term outcomes after epilepsy surgery. Epilepsy Research. 108(10). 1782–1789. 28 indexed citations
13.
Nehra, Ashima, et al.. (2014). Inverse relationship between stigma and quality of life in India: Is epilepsy a disabling neurological condition?. Epilepsy & Behavior. 39. 116–125. 21 indexed citations
14.
Rodríguez‐Luna, David, Dar Dowlatshahi, Richard I. Aviv, et al.. (2014). Venous Phase of Computed Tomography Angiography Increases Spot Sign Detection, but Intracerebral Hemorrhage Expansion Is Greater in Spot Signs Detected in Arterial Phase. Stroke. 45(3). 734–739. 46 indexed citations
15.
Huynh, Thien, Andrew M. Demchuk, Dar Dowlatshahi, et al.. (2013). Spot Sign Number Is the Most Important Spot Sign Characteristic for Predicting Hematoma Expansion Using First-Pass Computed Tomography Angiography. Stroke. 44(4). 972–977. 50 indexed citations
16.
Demchuk, Andrew M., Dar Dowlatshahi, David Rodríguez‐Luna, et al.. (2012). Prediction of haematoma growth and outcome in patients with intracerebral haemorrhage using the CT-angiography spot sign (PREDICT): a prospective observational study. The Lancet Neurology. 11(4). 307–314. 430 indexed citations breakdown →
17.
Chandra, P. Sarat, Ajay Garg, Shailesh Gaikwad, et al.. (2010). Surgery for medically intractable epilepsy due to postinfectious etiologies. Epilepsia. 51(6). 1097–1100. 29 indexed citations
18.
Pandian, Jeyaraj, et al.. (2007). Stroke and Thrombolysis in Developing Countries. International Journal of Stroke. 2(1). 17–26. 120 indexed citations
19.
Padma, Vasantha, Marc Fisher, & Majaz Moonis. (2006). Role of heparin and low-molecular-weight heparins in the management of acute ischemic stroke. Expert Review of Cardiovascular Therapy. 4(3). 405–415. 4 indexed citations
20.
Padma, Vasantha, Marc Fisher, & Majaz Moonis. (2005). Thrombolytic therapy for acute ischemic stroke: 3 h and beyond. Expert Review of Neurotherapeutics. 5(2). 223–233. 2 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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