Rakesh Mishra

1.6k total citations
100 papers, 1.0k citations indexed

About

Rakesh Mishra is a scholar working on Neurology, Surgery and Epidemiology. According to data from OpenAlex, Rakesh Mishra has authored 100 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Neurology, 26 papers in Surgery and 14 papers in Epidemiology. Recurrent topics in Rakesh Mishra's work include Traumatic Brain Injury and Neurovascular Disturbances (18 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers) and Neurosurgical Procedures and Complications (5 papers). Rakesh Mishra is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (18 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers) and Neurosurgical Procedures and Complications (5 papers). Rakesh Mishra collaborates with scholars based in India, United States and Colombia. Rakesh Mishra's co-authors include Dennis McFadden, V. K. Sud, G.S. Sekhon, Harsh Deora, Nicola Montemurro, Bipin Chaurasia, Giuseppe Emmanuele Umana, Amanda Anderson, Alan S. Go and Sylvia E. Rosas and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Rakesh Mishra

83 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rakesh Mishra India 14 270 225 210 122 102 100 1.0k
Chih‐Yang Hsu Taiwan 21 203 0.8× 198 0.9× 88 0.4× 393 3.2× 148 1.5× 81 1.4k
Manabu Yoshimura Japan 23 204 0.8× 117 0.5× 69 0.3× 81 0.7× 53 0.5× 132 1.6k
R. Graaff Netherlands 21 231 0.9× 186 0.8× 754 3.6× 76 0.6× 757 7.4× 55 2.1k
Th. Kenner Austria 14 344 1.3× 195 0.9× 160 0.8× 32 0.3× 70 0.7× 56 759
Matthias Lange United States 16 189 0.7× 157 0.7× 59 0.3× 51 0.4× 26 0.3× 55 828
Naoki Nishida Japan 24 494 1.8× 233 1.0× 79 0.4× 35 0.3× 59 0.6× 183 2.0k
Dov Jaron United States 22 539 2.0× 263 1.2× 332 1.6× 24 0.2× 68 0.7× 103 1.5k
Akira Kitagawa Japan 21 175 0.6× 274 1.2× 57 0.3× 21 0.2× 57 0.6× 78 1.5k
Toshihiko Ueda Japan 18 251 0.9× 275 1.2× 212 1.0× 15 0.1× 105 1.0× 119 1.3k
Myoung‐Hee Kim South Korea 21 60 0.2× 81 0.4× 59 0.3× 148 1.2× 85 0.8× 126 992

Countries citing papers authored by Rakesh Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Rakesh Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakesh Mishra

This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Mishra. A scholar is included among the top collaborators of Rakesh Mishra 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 Rakesh Mishra. Rakesh Mishra 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.
Mishra, Rakesh, Vishal Chavda, Luis Rafael Moscote‐Salazar, et al.. (2024). Systematic review and meta-analysis of studies comparing baseline D-dimer level in stroke patients with or without cancer: Strength of current evidence. Journal of Neurosciences in Rural Practice. 15(1). 16–28. 1 indexed citations
2.
Raymond, Kevin, et al.. (2023). Analysis of traumatic intracranial hemorrhage and delayed traumatic intracranial hemorrhage in patients with isolated head injury on anticoagulation and antiplatelet therapy. Journal of Neurosciences in Rural Practice. 14(4). 686–691. 1 indexed citations
3.
Mishra, Rakesh, et al.. (2023). Neurocritical Care Perspective of Traumatic Brain Injury During Pregnancy. 6(1). 15–19. 4 indexed citations
4.
Mishra, Rakesh, et al.. (2023). Airway Management of Suspected Traumatic Brain Injury Patients in the Emergency Room. Indian Journal of Neurotrauma. 21(1). 1–5. 1 indexed citations
5.
Agrawal, Amit & Rakesh Mishra. (2023). Automated Detection of Lesions in Patients with Traumatic Brain Injury using Brain CT Images: Concept Note and Proposed Method. Indian Journal of Neurotrauma. 21(1). 63–66. 1 indexed citations
7.
Mishra, Rakesh, et al.. (2022). Virtual Reality in Neurosurgery: Beyond Neurosurgical Planning. International Journal of Environmental Research and Public Health. 19(3). 1719–1719. 114 indexed citations
8.
Ghosh, Amrita, Ranabir Pal, Rakesh Mishra, et al.. (2021). Leukocyte neutrophil ratio (NLR) as biomarker for neuroinflammation in patients with intracerebral haemorrhage and traumatic brain injury. SHILAP Revista de lepidopterología. 20(3). 296–299.
9.
10.
Mishra, Rakesh, William A. Florez-Perdomo, Luis Rafael Moscote‐Salazar, et al.. (2020). Role of Music Therapy in Traumatic Brain Injury: A Systematic Review and Meta-analysis. World Neurosurgery. 146. 197–204. 21 indexed citations
11.
Mishra, Rakesh, et al.. (2018). Comparative study of two techniques of percutaneous pinning of displaced supracondylar humerus fracture. Zenodo (CERN European Organization for Nuclear Research). 24(1). 3–7. 2 indexed citations
12.
Zhang, Yun, et al.. (2016). Understanding the Quality of Pansharpening – A lab study. Photogrammetric Engineering & Remote Sensing. 82(10). 747–755. 10 indexed citations
13.
Mishra, Rakesh, et al.. (2013). Development and validation of Reproductive Health-Knowledge Questionnaire (RH-KQ) for adolescents.. ASIAN JOURNAL OF HOME SCIENCE. 8(1). 353–355.
14.
Mishra, Rakesh. (2010). Cardiac Emergencies in Patients with HIV. Emergency Medicine Clinics of North America. 28(2). 273–282. 7 indexed citations
15.
Mishra, Rakesh, et al.. (2009). Effect of Ashwagandha ghrita and Ashwagandha granules on lipid profile in albino rats. 30(3). 333. 2 indexed citations
16.
Mishra, Rakesh, et al.. (1994). On self-organization : an interdisciplinary search for a unifying principle. CERN Document Server (European Organization for Nuclear Research). 7 indexed citations
17.
McFadden, Dennis & Rakesh Mishra. (1993). On the relation between hearing sensitivity and otoacoustic emissions. Hearing Research. 71(1-2). 208–213. 68 indexed citations
18.
Mishra, Rakesh. (1960). Studies on experimental magnesium deficiency in the albino rat. 5. The influence of Mgdeficient regime on " Steroid-phosphate-cardiopathy ".. 19. 158–162. 1 indexed citations
19.
Mishra, Rakesh. (1960). [Studies on experimental magnesium deficiency in the albino rat. 7. The influence of dihydrotachysterol on certain manifestations associated with Mg-deficient regime].. PubMed. 19. 168–74. 1 indexed citations
20.
Mishra, Rakesh. (1960). Studies on experimental magnesium deficiency in the albino rat. 8. The influence of stress on cardiac and renal lesions in rats on Mg-deficient diet.. PubMed. 19. 175–80. 3 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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