Anup Ghosh

3.7k total citations · 1 hit paper
101 papers, 2.5k citations indexed

About

Anup Ghosh is a scholar working on Infectious Diseases, Epidemiology and Cell Biology. According to data from OpenAlex, Anup Ghosh has authored 101 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Infectious Diseases, 61 papers in Epidemiology and 19 papers in Cell Biology. Recurrent topics in Anup Ghosh's work include Antifungal resistance and susceptibility (62 papers), Fungal Infections and Studies (52 papers) and Plant Pathogens and Fungal Diseases (18 papers). Anup Ghosh is often cited by papers focused on Antifungal resistance and susceptibility (62 papers), Fungal Infections and Studies (52 papers) and Plant Pathogens and Fungal Diseases (18 papers). Anup Ghosh collaborates with scholars based in India, United States and Bangladesh. Anup Ghosh's co-authors include Shivaprakash M. Rudramurthy, Arunaloke Chakrabarti, Saikat Paul, Harsimran Kaur, Pankaj Singh, Shreya Singh, Hariprasath Prakash, Immaculata Xess, Prashant Sood and A. Chakrabarti and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and PLoS ONE.

In The Last Decade

Anup Ghosh

92 papers receiving 2.4k citations

Hit Papers

A prospective multicenter study on mucormycosis in India:... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anup Ghosh India 27 1.6k 1.2k 378 347 284 101 2.5k
Saad J. Taj‐Aldeen Qatar 24 938 0.6× 794 0.6× 371 1.0× 180 0.5× 199 0.7× 60 1.4k
Miki Kasai United States 18 912 0.6× 711 0.6× 350 0.9× 241 0.7× 198 0.7× 21 1.5k
Elena Eraso Spain 29 1.5k 1.0× 983 0.8× 189 0.5× 359 1.0× 184 0.6× 103 2.6k
Liyan Xi China 27 1.2k 0.8× 1.6k 1.3× 863 2.3× 302 0.9× 417 1.5× 123 2.4k
Marta E. García Spain 23 834 0.5× 519 0.4× 178 0.5× 281 0.8× 215 0.8× 89 1.5k
D. W. R. Mackenzie United Kingdom 31 1.3k 0.8× 1.3k 1.0× 504 1.3× 395 1.1× 411 1.4× 99 2.4k
H. Sellami Tunisia 23 507 0.3× 625 0.5× 303 0.8× 399 1.1× 157 0.6× 109 1.9k
Steven F. Hurst United States 21 697 0.4× 692 0.6× 392 1.0× 203 0.6× 265 0.9× 33 1.2k
Reiko Ikeda Japan 26 1.1k 0.7× 1.3k 1.1× 727 1.9× 712 2.1× 497 1.8× 102 2.3k
H. C. Gugnani Nigeria 21 628 0.4× 952 0.8× 493 1.3× 175 0.5× 259 0.9× 111 1.6k

Countries citing papers authored by Anup Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Anup Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anup Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Anup Ghosh. A scholar is included among the top collaborators of Anup Ghosh 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 Anup Ghosh. Anup Ghosh 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.
Kaur, Harsimran, Satya Prakash Yadav, Amit Gupta, et al.. (2025). Prospective study on combined use of Sabouraud dextrose agar and blood agar for improved recovery of etiological agents in mycotic and Pythium keratitis. Journal of Microbiological Methods. 237. 107247–107247.
3.
Sharma, Kusum, Archana Angrup, Anup Ghosh, et al.. (2024). Evaluation of VITEK MS Version 3.0 MALDI-TOF for the identification of anaerobes, mycobacteria, Nocardia, and moulds. Diagnostic Microbiology and Infectious Disease. 110(4). 116477–116477. 3 indexed citations
5.
Das, Sourav Kumar, Shreya Singh, Tushar K. Dutta, et al.. (2024). Comparative fitness trade-offs associated with azole resistance in Candida auris clinical isolates. Heliyon. 10(12). e32386–e32386. 8 indexed citations
6.
Kaur, Harsimran, et al.. (2024). An interesting report of COVID-19 associated mucormycosis (CAM) cases by two different species of Mucorales. Indian Journal of Medical Microbiology. 50. 100656–100656. 1 indexed citations
7.
Paul, Saikat, et al.. (2024). Carbon substrates promotes stress resistance and drug tolerance in clinical isolates of Candida tropicalis. Archives of Microbiology. 206(6). 270–270. 1 indexed citations
8.
Choudhary, Hansraj, Harsimran Kaur, Rachna Singh, et al.. (2024). A novel indirect ELISA for serodiagnosis of mucormycosis using antigens from Rhizopus arrhizus. Mycoses. 67(5). e13730–e13730. 1 indexed citations
9.
Das, Sourav Kumar, Amit Gupta, Savitri Sharma, et al.. (2023). Development of single‐tube real‐time PCR assay for the rapid detection of Aspergillus and Fusarium—The two most common causative agents in fungal keratitis. Mycoses. 66(9). 801–809. 2 indexed citations
11.
Kaur, Harsimran, Parakriti Gupta, Shamanth A. Shankarnarayan, et al.. (2023). Cladosporium halotolerans: Exploring an Unheeded Human Pathogen. Mycopathologia. 188(6). 1027–1040. 2 indexed citations
12.
Rudramurthy, Shivaprakash M., et al.. (2022). Faster and accurate identification of clinically important Trichosporon using MALDI TOF MS. Indian Journal of Medical Microbiology. 40(3). 359–364. 3 indexed citations
13.
Kaur, Harsimran, Rimjhim Kanaujia, Kamal Kajal, et al.. (2022). Clinical utility of time to positivity of blood cultures in cases of fungaemia: A prospective study. Indian Journal of Medical Microbiology. 43. 85–89. 1 indexed citations
14.
Paul, Saikat, Dipika Shaw, Himanshu Joshi, et al.. (2022). Mechanisms of azole antifungal resistance in clinical isolates of Candida tropicalis. PLoS ONE. 17(7). e0269721–e0269721. 28 indexed citations
15.
Paul, Saikat, Shreya Singh, Dipika Shaw, et al.. (2021). Rapid detection of ERG11 polymorphism associated azole resistance in Candida tropicalis. PLoS ONE. 16(1). e0245160–e0245160. 12 indexed citations
16.
Jain, Neha, Harsimran Kaur, Anup Ghosh, et al.. (2019). Ocular infection caused by Hormographiella aspergillata: A case report and review of literature. Journal de Mycologie Médicale. 29(1). 71–74. 8 indexed citations
17.
Paul, Raees A., Shivaprakash M. Rudramurthy, Manpreet Dhaliwal, et al.. (2018). Magnitude of Voriconazole Resistance in Clinical and Environmental Isolates of Aspergillus flavus and Investigation into the Role of Multidrug Efflux Pumps. Antimicrobial Agents and Chemotherapy. 62(11). 29 indexed citations
18.
Chakrabarti, Arunaloke, Harsimran Kaur, Shivaprakash M. Rudramurthy, et al.. (2015). Brain abscess due toCladophialophora bantiana: a review of 124 cases. Medical Mycology. 54(2). 111–119. 59 indexed citations
19.
Ghosh, Anup, et al.. (2013). Influence of Tillage on Soil Physical Environment. International Journal of Agronomy and Plant Production. 4(10). 2592–2597. 4 indexed citations
20.
Ghosh, Anup, et al.. (1990). Ancylostomiasis in pet dog - a note.. 14(3). 215–217. 2 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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