Mohith Shamdas

1.8k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Mohith Shamdas is a scholar working on Ophthalmology, Dermatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mohith Shamdas has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ophthalmology, 3 papers in Dermatology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mohith Shamdas's work include Retinal and Optic Conditions (3 papers), Ocular Diseases and Behçet’s Syndrome (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Mohith Shamdas is often cited by papers focused on Retinal and Optic Conditions (3 papers), Ocular Diseases and Behçet’s Syndrome (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Mohith Shamdas collaborates with scholars based in United Kingdom, Switzerland and United States. Mohith Shamdas's co-authors include Konstantinos Balaskas, Alastair K. Denniston, Xiaoxuan Liu, Gabriella Moraes, Alice Bruynseels, Aditya U. Kale, Pearse A. Keane, Lucas M. Bachmann, Dun Jack Fu and Livia Faes and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, British Journal of Ophthalmology and Frontiers in Cellular and Infection Microbiology.

In The Last Decade

Mohith Shamdas

10 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

2019 1.0k citations Xiaoxuan Liu, Livia Faes et al. The Lancet Digital Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohith Shamdas United Kingdom	6	478	452	368	130	101	10	1.1k
Alice Bruynseels United Kingdom	6	513 1.1×	452 1.0×	368 1.0×	130 1.0×	104 1.0×	10	1.1k
Aditya U. Kale United Kingdom	6	515 1.1×	459 1.0×	369 1.0×	137 1.1×	104 1.0×	20	1.1k
Thushika Mahendiran United Kingdom	1	470 1.0×	447 1.0×	367 1.0×	129 1.0×	99 1.0×	2	1.0k
Joseph R. Ledsam United Kingdom	8	725 1.5×	496 1.1×	491 1.3×	194 1.5×	122 1.2×	14	1.9k
Luke Oakden‐Rayner Australia	13	490 1.0×	551 1.2×	528 1.4×	157 1.2×	99 1.0×	18	1.4k
Mustafa Suleyman United Kingdom	6	463 1.0×	672 1.5×	511 1.4×	119 0.9×	193 1.9×	6	1.4k
Emma Chen United States	7	414 0.9×	593 1.3×	456 1.2×	133 1.0×	133 1.3×	13	1.4k
Christopher A. Lovejoy United Kingdom	9	306 0.6×	335 0.7×	238 0.6×	65 0.5×	77 0.8×	14	844
Gabriella Moraes United Kingdom	12	883 1.8×	510 1.1×	481 1.3×	158 1.2×	123 1.2×	22	1.6k
John R. Zech United States	12	722 1.5×	504 1.1×	618 1.7×	217 1.7×	89 0.9×	29	1.6k

Countries citing papers authored by Mohith Shamdas

Since Specialization

Citations

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

Fields of papers citing papers by Mohith Shamdas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohith Shamdas

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

All Works

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10 of 10 papers shown

1.

Sandinha, Teresa, et al.. (2022). Patient-reported outcome measures in vitreoretinal surgery: a systematic review. Eye. 37(3). 391–401. 6 indexed citations

2.

Shamdas, Mohith, Amanda E. Rossiter, Animesh Acharjee, et al.. (2022). Gut Dysbiosis in Ocular Mucous Membrane Pemphigoid. Frontiers in Cellular and Infection Microbiology. 12. 780354–780354. 17 indexed citations

3.

Shamdas, Mohith, et al.. (2020). Plasma fibroblast skin tightening treatment resulting in bilateral chemical eye injury secondary to EMLA cream: a case report. BMC Ophthalmology. 20(1). 342–342. 2 indexed citations

4.

Shamdas, Mohith, et al.. (2020). Creating a Health Utility Value for Birdshot Chorioretinopathy. Ocular Immunology and Inflammation. 30(1). 73–80. 3 indexed citations

5.

Shamdas, Mohith, Kevin Molloy, Shireen Velangi, et al.. (2019). Conjunctivitis due to Dupilumab Treatment in Atopic Dermatitis: Clinical features and impact on gut microbiome. Investigative Ophthalmology & Visual Science. 60(9). 6712–6712. 1 indexed citations

6.

Liu, Xiaoxuan, Livia Faes, Aditya U. Kale, et al.. (2019). A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. The Lancet Digital Health. 1(6). e271–e297. 1020 indexed citations breakdown →

7.

Faes, Livia, Xiaoxuan Liu, Aditya U. Kale, et al.. (2019). Deep Learning Under Scrutiny: Performance Against Health Care Professionals in Detecting Diseases from Medical Imaging - Systematic Review and Meta-Analysis. SSRN Electronic Journal. 14 indexed citations

8.

Shamdas, Mohith, et al.. (2019). Longitudinal Study Investigating the Relationship between Disease Activity and Psychological Status of Patients with Behçet’s Disease. Ocular Immunology and Inflammation. 28(4). 613–621. 7 indexed citations

9.

Shamdas, Mohith, et al.. (2018). Health-related quality of life in patients with uveitis. British Journal of Ophthalmology. 103(9). 1284–1288. 18 indexed citations

10.

Shamdas, Mohith, et al.. (2015). Tablets for tomorrow's doctors. The Clinical Teacher. 12(3). 212–213. 1 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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