Kailash Krishnan

3.3k total citations
40 papers, 603 citations indexed

About

Kailash Krishnan is a scholar working on Epidemiology, Neurology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kailash Krishnan has authored 40 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Epidemiology, 26 papers in Neurology and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kailash Krishnan's work include Acute Ischemic Stroke Management (32 papers), Traumatic Brain Injury and Neurovascular Disturbances (14 papers) and Intracerebral and Subarachnoid Hemorrhage Research (13 papers). Kailash Krishnan is often cited by papers focused on Acute Ischemic Stroke Management (32 papers), Traumatic Brain Injury and Neurovascular Disturbances (14 papers) and Intracerebral and Subarachnoid Hemorrhage Research (13 papers). Kailash Krishnan collaborates with scholars based in United Kingdom, Malaysia and United States. Kailash Krishnan's co-authors include Philip M. Bath, Nikola Sprigg, Joanna M. Wardlaw, Lisa J Woodhouse, Robert A. Dineen, Polly Scutt, Jason P. Appleton, Eivind Berge, Zhe Kang Law and Stefan Pszczółkowski and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

In The Last Decade

Kailash Krishnan

36 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kailash Krishnan United Kingdom 13 403 311 135 116 86 40 603
Andrea Rocco Germany 15 351 0.9× 279 0.9× 92 0.7× 120 1.0× 62 0.7× 26 548
João Pinho Portugal 16 346 0.9× 334 1.1× 147 1.1× 88 0.8× 41 0.5× 66 774
Myung Suk Jang South Korea 11 377 0.9× 160 0.5× 196 1.5× 153 1.3× 43 0.5× 22 538
David Cánovas Spain 11 366 0.9× 196 0.6× 154 1.1× 39 0.3× 106 1.2× 24 608
Alexandra Zangerle Austria 8 394 1.0× 190 0.6× 211 1.6× 79 0.7× 48 0.6× 13 585
Wanying Duan China 9 284 0.7× 161 0.5× 150 1.1× 67 0.6× 57 0.7× 18 470
Miquel Balcells Spain 13 392 1.0× 223 0.7× 253 1.9× 126 1.1× 68 0.8× 26 684
Luca Bertolani Italy 6 400 1.0× 168 0.5× 125 0.9× 143 1.2× 39 0.5× 7 505
Wanliang Du China 13 303 0.8× 115 0.4× 148 1.1× 77 0.7× 51 0.6× 24 452
Gerli Sibolt Finland 13 410 1.0× 188 0.6× 107 0.8× 78 0.7× 142 1.7× 32 589

Countries citing papers authored by Kailash Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Kailash Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kailash Krishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Kailash Krishnan. A scholar is included among the top collaborators of Kailash Krishnan 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 Kailash Krishnan. Kailash Krishnan 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
2.
Dhillon, Permesh Singh, Anna Podlasek, Pervinder Bhogal, et al.. (2023). Effect of proximal blood flow arrest during endovascular thrombectomy (ProFATE): Study protocol for a multicentre randomised controlled trial. European Stroke Journal. 8(2). 581–590. 9 indexed citations
3.
Krishnan, Kailash, Thanh N. Nguyen, Jason P. Appleton, et al.. (2023). Cerebral edema in intracerebral hemorrhage: pathogenesis, natural history, and potential treatments from translation to clinical trials. SHILAP Revista de lepidopterología. 2. 1256664–1256664. 2 indexed citations
4.
Woodhouse, Lisa J, Jason P. Appleton, Hanne Christensen, et al.. (2023). Bleeding with intensive versus guideline antiplatelet therapy in acute cerebral ischaemia. Scientific Reports. 13(1). 11717–11717. 1 indexed citations
5.
Krishnan, Kailash, Thanh N. Nguyen, Ashwin Kumaria, et al.. (2023). Surgery for Malignant Acute Ischemic Stroke: A Narrative Review of the Knowns and Unknowns. Seminars in Neurology. 43(3). 370–387. 3 indexed citations
6.
Kremer, Christine, Zuzana Gdovinová, Yannick Béjot, et al.. (2022). European Stroke Organisation guidelines on stroke in women: Management of menopause, pregnancy and postpartum. European Stroke Journal. 7(2). I–XIX. 20 indexed citations
7.
Dhillon, Permesh Singh, Anna Podlasek, Norman McConachie, et al.. (2022). Association between time to treatment and clinical outcomes in endovascular thrombectomy beyond 6 hours without advanced imaging selection. Journal of NeuroInterventional Surgery. 15(4). 336–342. 9 indexed citations
8.
Ouyang, Menglu, Xia Wang, Chen Chen, et al.. (2022). Pressor therapy in acute ischaemic stroke: an updated systematic review. European Stroke Journal. 7(2). 99–116. 12 indexed citations
9.
Woodhouse, Lisa J, Jason P. Appleton, Polly Scutt, et al.. (2022). Effect of continuing versus stopping pre-stroke antihypertensive agents within 12 h on outcome after stroke: A subgroup analysis of the efficacy of nitric oxide in stroke (ENOS) trial. EClinicalMedicine. 44. 101274–101274. 3 indexed citations
11.
Pszczółkowski, Stefan, Zhe Kang Law, Kailash Krishnan, et al.. (2021). Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage. European Radiology. 31(10). 7945–7959. 45 indexed citations
12.
Sandset, Else Charlotte, Jason P. Appleton, Eivind Berge, et al.. (2019). Associations between change in blood pressure and functional outcome, early events and death. Journal of Hypertension. 37(10). 2104–2109. 2 indexed citations
13.
Krishnan, Kailash, Erik Fink Eriksen, Philip M. Bath, et al.. (2019). Posterior circulation stroke diagnosis using HINTS in patients presenting with acute vestibular syndrome: A systematic review. European Stroke Journal. 4(3). 233–239. 23 indexed citations
14.
Krishnan, Kailash, et al.. (2018). AN OSTEOLOGICAL STUDY OF FORAMEN TRANSVERSARIUM OF CERVICAL VERTEBRAE AND ITS CLINICAL SIGNIFICANCE. International Journal of Anatomy and Research. 6(1.2). 4906–4913. 3 indexed citations
17.
Woodhouse, Lisa J, Polly Scutt, Kailash Krishnan, et al.. (2015). Effect of Hyperacute Administration (Within 6 Hours) of Transdermal Glyceryl Trinitrate, a Nitric Oxide Donor, on Outcome After Stroke. Stroke. 46(11). 3194–3201. 74 indexed citations
18.
Scutt, Polly, D. Blackburn, Kailash Krishnan, et al.. (2015). Baseline characteristics, analysis plan and report on feasibility for the Prevention Of Decline in Cognition After Stroke Trial (PODCAST). Trials. 16(1). 509–509. 5 indexed citations
19.
Krishnan, Kailash, Aimee E. Houlton, Elizabeth Walker, et al.. (2015). Performance characteristics of methods for quantifying spontaneous intracerebral haemorrhage: data from the Efficacy of Nitric Oxide in Stroke (ENOS) trial. Journal of Neurology Neurosurgery & Psychiatry. 86(11). 1258–1266. 26 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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