Madhu Goyal

3.9k total citations · 1 hit paper
47 papers, 3.1k citations indexed

About

Madhu Goyal is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Madhu Goyal has authored 47 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 21 papers in Epidemiology and 15 papers in Surgery. Recurrent topics in Madhu Goyal's work include Mycobacterium research and diagnosis (19 papers), Tuberculosis Research and Epidemiology (19 papers) and Diagnosis and treatment of tuberculosis (10 papers). Madhu Goyal is often cited by papers focused on Mycobacterium research and diagnosis (19 papers), Tuberculosis Research and Epidemiology (19 papers) and Diagnosis and treatment of tuberculosis (10 papers). Madhu Goyal collaborates with scholars based in United Kingdom, India and Guadeloupe. Madhu Goyal's co-authors include R J Shaw, Sjoukje Kuijper, Leo M. Schouls, A H Kolk, J van Embden, Dick van Soolingen, H.O.F. Molhuizen, Annelies Bunschoten, D B Young and Richard Shaw and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Journal of Clinical Microbiology.

In The Last Decade

Madhu Goyal

41 papers receiving 3.0k citations

Hit Papers

Simultaneous detection and strain differentiation of Myco... 1997 2026 2006 2016 1997 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madhu Goyal United Kingdom 14 2.7k 2.6k 1.7k 387 139 47 3.1k
Xi Pan United States 18 1.9k 0.7× 1.8k 0.7× 728 0.4× 542 1.4× 139 1.0× 20 2.4k
Bonnie B. Plikaytis United States 29 3.0k 1.1× 2.8k 1.1× 1.3k 0.7× 977 2.5× 251 1.8× 50 3.8k
Srinivas V. Ramaswamy United States 22 2.7k 1.0× 2.0k 0.8× 843 0.5× 1.1k 2.9× 192 1.4× 27 3.3k
T. Garnier France 12 1.4k 0.5× 1.2k 0.5× 642 0.4× 490 1.3× 185 1.3× 22 1.9k
E. Grace Smith United Kingdom 22 1.4k 0.5× 1.4k 0.5× 519 0.3× 621 1.6× 122 0.9× 41 2.2k
Sònia Borrell Switzerland 30 2.4k 0.9× 2.2k 0.8× 882 0.5× 930 2.4× 163 1.2× 69 3.1k
Francesc Coll United Kingdom 26 1.9k 0.7× 1.5k 0.6× 504 0.3× 802 2.1× 139 1.0× 53 2.6k
Edward Desmond United States 21 1.4k 0.5× 1.5k 0.6× 499 0.3× 363 0.9× 78 0.6× 34 2.0k
Josephine M. Bryant United Kingdom 17 1.1k 0.4× 1.5k 0.6× 317 0.2× 471 1.2× 110 0.8× 27 1.8k
Sylvia Cardoso Leão Brazil 29 1.5k 0.5× 2.0k 0.8× 308 0.2× 348 0.9× 152 1.1× 83 2.4k

Countries citing papers authored by Madhu Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Madhu Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhu Goyal

This figure shows the co-authorship network connecting the top 25 collaborators of Madhu Goyal. A scholar is included among the top collaborators of Madhu 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 Madhu Goyal. Madhu Goyal 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.
Singh, Jaswant, Gurdyal S. Besra, Christopher D. Benham, et al.. (2020). Identification and validation of the mode of action of the chalcone anti-mycobacterial compounds. SHILAP Revista de lepidopterología. 6. 100041–100041. 11 indexed citations
2.
Goyal, Madhu, et al.. (2017). Organoleptic acceptability of value added products using drumstick leaves powder. Journal of Pharmacognosy and Phytochemistry. 6(4). 1060–1063. 2 indexed citations
3.
Lawson, Lovett, et al.. (2015). Genetic diversity of Mycobacterium tuberculosis complex strains isolated from patients with pulmonary tuberculosis in Anambra State, Nigeria. International Journal of Mycobacteriology. 5(1). 74–79. 13 indexed citations
4.
Goyal, Madhu, et al.. (2014). A cellulose-based bioassay for the colorimetric detection of pathogen DNA. Analytical and Bioanalytical Chemistry. 406(30). 7887–7898. 13 indexed citations
5.
Goyal, Madhu, et al.. (2013). Potential of using camel milk for ice cream making. Journal of Camel Practice and Research. 20(2). 271–275. 2 indexed citations
6.
Kudi, A. C., et al.. (2013). Tuberculin screening of some selected Fulani lactating cows in North-Central Nigeria. Tropical Animal Health and Production. 45(7). 1505–1508. 2 indexed citations
7.
Nathawat, N. S., et al.. (2011). Effect of gamma radiation on microbial safety and nutritional quality of kachri (Cucumis callosus). Journal of Food Science and Technology. 50(4). 723–730. 10 indexed citations
8.
Wangoo, A, et al.. (2010). Time dependent expression of cytokines in Mycobacterium bovis infected cattle lymph nodes. Veterinary Immunology and Immunopathology. 138(1-2). 79–84. 11 indexed citations
9.
Goyal, Madhu, et al.. (2009). Efficacy of Aloe vera juice consumption on glycemic response in Type-2 diabetic patients.. Journal of Food Science and Technology-mysore. 46(2). 160–162. 7 indexed citations
10.
11.
Goyal, Madhu & Sanjeev Sharma. (2009). Traditional wisdom and value addition prospects of arid foods of desert region of North West India. Indian Journal of Traditional Knowledge. 8(4). 581–585. 38 indexed citations
12.
Vordermeier, Martin, et al.. (2008). Cytokine mRNA expression in cattle infected with different dosages of Mycobacterium bovis. Tuberculosis. 88(6). 610–615. 12 indexed citations
13.
Gori, Andrea, Anna Degli Esposti, Alessandra Bandera, et al.. (2005). Comparison between spoligotyping and IS6110 restriction fragment length polymorphisms in molecular genotyping analysis of Mycobacterium tuberculosis strains. Molecular and Cellular Probes. 19(4). 236–244. 19 indexed citations
14.
Goyal, Madhu & Douglas B. Young. (2003). Molecular Approaches in Mycobacterium tuberculosis and Other Infections Caused by Mycobacterium Species. Humana Press eBooks. 15. 157–190. 2 indexed citations
15.
Stewart, Graham R., Valerie A. Snewin, Gerhard Walzl, et al.. (2001). Overexpression of heat-shock proteins reduces survival of Mycobacterium tuberculosis in the chronic phase of infection. Nature Medicine. 7(6). 732–737. 116 indexed citations
16.
Goyal, Madhu, et al.. (2000). Nutrient Composition and Recipe Development of Supplementary Foods Based on Bajra, Moth-Beans and Groundnuts. The Indian Journal of Nutrition and Dietetics. 37(2). 54–58. 2 indexed citations
17.
Goyal, Madhu, et al.. (1999). Spoligotyping in molecular epidemiology of tuberculosis in Ghana. Journal of Infection. 38(3). 171–175. 30 indexed citations
18.
Goyal, Madhu, et al.. (1997). Rapid detection of multidrug-resistant tuberculosis. European Respiratory Journal. 10(5). 1120–1124. 33 indexed citations
19.
Evans, David J., et al.. (1994). Identification of M. tuberculosis ribosomal RNA in mouthwash samples from patients with tuberculosis. Respiratory Medicine. 88(9). 687–691. 7 indexed citations
20.
Goyal, Madhu, et al.. (1990). Physicochemical characteristics of cauliflower dried under different drying conditions.. The Indian Journal of Nutrition and Dietetics. 27(2). 39–46. 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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