Kashish Goyal

1.4k total citations
10 papers, 60 citations indexed

About

Kashish Goyal is a scholar working on Health, General Health Professions and Internal Medicine. According to data from OpenAlex, Kashish Goyal has authored 10 papers receiving a total of 60 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, 4 papers in General Health Professions and 2 papers in Internal Medicine. Recurrent topics in Kashish Goyal's work include Social Media in Health Education (4 papers), Health Literacy and Information Accessibility (4 papers) and Global Health and Surgery (2 papers). Kashish Goyal is often cited by papers focused on Social Media in Health Education (4 papers), Health Literacy and Information Accessibility (4 papers) and Global Health and Surgery (2 papers). Kashish Goyal collaborates with scholars based in India, United Kingdom and United States. Kashish Goyal's co-authors include Kashish Malhotra, Punith Kempegowda, Gurpreet Singh Wander, Marco Bardus, Sule Burger, Susie Lee, Chetna Kaushal, Connor Wathen, William C. Welch and Himel Mondal and has published in prestigious journals such as European Heart Journal, British journal of surgery and Frontiers in Endocrinology.

In The Last Decade

Kashish Goyal

9 papers receiving 59 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kashish Goyal India	5	20	19	10	10	9	10	60
Ashar Asif United Kingdom	4	9 0.5×	6 0.3×	8 0.8×	12 1.2×	5 0.6×	9	50
Wei-An Lee United States	4	10 0.5×	16 0.8×	3 0.3×	8 0.8×	4 0.4×	5	74
A Al-Habib Saudi Arabia	3	14 0.7×	12 0.6×	6 0.6×	10 1.0×		4	44
Reza Assadi Iran	6	21 1.1×	20 1.1×	15 1.5×	12 1.2×	1 0.1×	13	87
Julie Darraugh United Kingdom	4	13 0.7×	17 0.9×	4 0.4×	3 0.3×	1 0.1×	4	40
Afzal Sohaib United Kingdom	7	23 1.1×	15 0.8×	2 0.2×	7 0.7×	1 0.1×	23	176
Maximilian Ralston United Kingdom	3	15 0.8×	13 0.7×	8 0.8×	3 0.3×		4	31
Afeez Abolarinwa Salami Nigeria	5	5 0.3×	16 0.8×	10 1.0×	6 0.6×	1 0.1×	32	68
Lauren Griffin United States	5	4 0.2×	20 1.1×	10 1.0×	5 0.5×	2 0.2×	6	109
Natalie Hassell United States	4	6 0.3×	10 0.5×	5 0.5×	14 1.4×	1 0.1×	16	40

Countries citing papers authored by Kashish Goyal

Since Specialization

Citations

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

Fields of papers citing papers by Kashish Goyal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kashish Goyal

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Malhotra, Kashish, et al.. (2024). A SIMBA CoMICs Initiative to Cocreating and Disseminating Evidence-Based, Peer-Reviewed Short Videos on Social Media: Mixed Methods Prospective Study. JMIR Medical Education. 10. e52924–e52924. 3 indexed citations

2.

Malhotra, Kashish, et al.. (2023). Role of Artificial Intelligence in Global Surgery: A Review of Opportunities and Challenges. Cureus. 15(8). e43192–e43192. 15 indexed citations

3.

Malhotra, Kashish, et al.. (2023). Evaluating the Global Digital Impact of Psoriasis Action Month and World Psoriasis Day: Serial Cross-Sectional Study. JMIR Dermatology. 6. e49399–e49399. 1 indexed citations

4.

Malhotra, Kashish, Gabrielle Santangelo, Connor Wathen, et al.. (2023). The Digital Impact of Neurosurgery Awareness Month: Retrospective Infodemiology Study. JMIR Formative Research. 7. e44754–e44754. 1 indexed citations

5.

Goyal, Kashish, et al.. (2023). Phishing and Web Hacking: Examining the Vulnerabilities and Defenses in the Digital Age. 862–868. 2 indexed citations

6.

Malhotra, Kashish, et al.. (2023). Digital impact of world hepatitis day: Formulating evidence-based recommendations for promoting healthcare awareness events. Journal of Education and Health Promotion. 12(1). 288–288.

7.

Malhotra, Kashish, et al.. (2022). Top 100 #PCOS influencers: Understanding who, why and how online content for PCOS is influenced. Frontiers in Endocrinology. 13. 1084047–1084047. 15 indexed citations

8.

Goyal, Kashish, et al.. (2022). Evaluating the Global Impact of Stroke Awareness Month: A Serial Cross-Sectional Analysis. Cureus. 14(9). e28997–e28997. 9 indexed citations

9.

Malhotra, Kashish, et al.. (2022). Global impact of deep vein thrombosis awareness month: challenges and future recommendations. European Heart Journal. 43(36). 3379–3381. 10 indexed citations

10.

Malhotra, Kashish, et al.. (2022). Is global surgery really global? Evaluating global and gender diversity in global surgery research. British journal of surgery. 109(12). 1331–1332. 4 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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