D. Himanshu Reddy

437 total citations
20 papers, 298 citations indexed

About

D. Himanshu Reddy is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, D. Himanshu Reddy has authored 20 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 6 papers in Public Health, Environmental and Occupational Health and 4 papers in Epidemiology. Recurrent topics in D. Himanshu Reddy's work include Mosquito-borne diseases and control (5 papers), Viral Infections and Vectors (3 papers) and HIV-related health complications and treatments (3 papers). D. Himanshu Reddy is often cited by papers focused on Mosquito-borne diseases and control (5 papers), Viral Infections and Vectors (3 papers) and HIV-related health complications and treatments (3 papers). D. Himanshu Reddy collaborates with scholars based in India, United States and Peru. D. Himanshu Reddy's co-authors include R. K. Marwaha, Seema Puri, Nikhil Tandon, Neha Agarwal, Rashmi Agarwal, Satveer Singh, Tapan N. Dhole, Kauser Usman, Dharamveer Singh and Mani Kalaivani and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal Of Nutrition and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

D. Himanshu Reddy

18 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Himanshu Reddy India 8 167 95 88 61 44 20 298
Reagan M. Mogire Kenya 8 163 1.0× 87 0.9× 94 1.1× 29 0.5× 20 0.5× 17 290
Marjan Tabesh Australia 8 218 1.3× 80 0.8× 110 1.3× 25 0.4× 17 0.4× 24 413
Timothy R Venton United Kingdom 6 231 1.4× 123 1.3× 20 0.2× 25 0.4× 135 3.1× 7 387
Mike Müller Germany 4 253 1.5× 111 1.2× 96 1.1× 77 1.3× 11 0.3× 15 325
Themistoklis Karpathios Greece 11 51 0.3× 76 0.8× 76 0.9× 34 0.6× 8 0.2× 16 318
Rembert A. Koczulla Germany 7 122 0.7× 44 0.5× 19 0.2× 15 0.2× 35 0.8× 8 325
J.-L. Bresson France 11 92 0.6× 133 1.4× 80 0.9× 14 0.2× 20 0.5× 23 477
Shalbha Tiwari India 10 103 0.6× 33 0.3× 34 0.4× 18 0.3× 32 0.7× 19 350
Shannon Keisling United States 4 130 0.8× 86 0.9× 29 0.3× 5 0.1× 26 0.6× 6 283
Selmin Koklu Türkiye 11 32 0.2× 44 0.5× 42 0.5× 27 0.4× 15 0.3× 20 414

Countries citing papers authored by D. Himanshu Reddy

Since Specialization
Citations

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

Fields of papers citing papers by D. Himanshu Reddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Himanshu Reddy. 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 D. Himanshu Reddy. The network helps show where D. Himanshu Reddy may publish in the future.

Co-authorship network of co-authors of D. Himanshu Reddy

This figure shows the co-authorship network connecting the top 25 collaborators of D. Himanshu Reddy. A scholar is included among the top collaborators of D. Himanshu Reddy 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 D. Himanshu Reddy. D. Himanshu Reddy 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.
Usman, Kauser, Kamal Kumar Sawlani, Kamlesh Kumar Gupta, et al.. (2024). Comparison of a Novel Score “NOD−ACLF” to Other Established Prognostic Scores for Prediction of Mortality in APASL−ACLF Patients: A Cohort Study from a Tertiary Care Center of North India. Journal of Clinical and Experimental Hepatology. 14(4). 101366–101366.
2.
Chandra, Tulika, et al.. (2024). Role of plasma exchange in a post-partum case of severe thrombotic thrombocytopenic purpura with acute kidney injury. SHILAP Revista de lepidopterología. 13(6). 2503–2506.
3.
Reddy, D. Himanshu, et al.. (2023). Reinfection of COVID-19 among doctors at a tertiary care centre in Northern India: A report from a resource-limited setting. Lung India. 40(2). 123–127. 1 indexed citations
4.
Kushwaha, Rashmi, et al.. (2022). Circulating Cell-Free DNA Level in Prediction of COVID-19 Severity and Mortality: Correlation of with Haematology and Serum Biochemical Parameters. Indian Journal of Clinical Biochemistry. 38(2). 172–181. 6 indexed citations
5.
Pandey, Shweta, Hardeep Singh Malhotra, Ravindra Kumar Garg, et al.. (2022). Determinants of stroke in patients with rhino cerebral mucormycosis seen during the second wave of COVID-19 pandemic: A prospective cohort study. Journal of Infection and Public Health. 15(11). 1265–1269. 1 indexed citations
7.
Prakash, Shantanu, et al.. (2021). Molecular characterisation of Hepatitis E virus isolates from north India. Indian Journal of Medical Microbiology. 40(1). 91–95. 3 indexed citations
8.
Jain, Parul, et al.. (2021). Prevalence of Dengue, Chikungunya, and Zika Viruses in Febrile Pregnant Women: An Observational Study at a Tertiary Care Hospital in North India. American Journal of Tropical Medicine and Hygiene. 106(1). 168–173. 7 indexed citations
9.
Dhole, Tapan N., et al.. (2021). Differential expression of circulating microRNAs in serum: Potential biomarkers to track Japanese encephalitis virus infection. Journal of Medical Virology. 94(2). 531–539. 7 indexed citations
10.
Prakash, Shantanu, et al.. (2020). SARS-CoV-2 –RNA persists longer in faecal sample as compared to nasal and throat swab samples of COVID-19 patients’; an observational study. Indian Journal of Medical Microbiology. 39(1). 122–124. 4 indexed citations
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13.
Usman, Kauser, et al.. (2018). Prevalence of thyroid dysfunction in chronic obstructive pulmonary disease patients in a tertiary care center in North India. SHILAP Revista de lepidopterología. 7(3). 584–584. 14 indexed citations
14.
Ali, Wahid, et al.. (2018). A case control study on HDL associated PON1 enzyme level in Northern Indian type 2 diabetes mellitus patients. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 12(6). 843–847. 4 indexed citations
16.
Sawlani, Kamal Kumar, et al.. (2017). A study of bone mineral density among people living with HIV in India and its correlation with CD4 count. International Journal of Research in Medical Sciences. 5(2). 563–563. 2 indexed citations
17.
Sawlani, Kamal Kumar, et al.. (2017). A Study of Cardiovascular Abnormalities in HIV Positive Patients in a Tertiary Care Hospital in Northern India.. PubMed. 65(12). 24–29. 7 indexed citations
18.
Jain, Nirdesh, D. Himanshu Reddy, Shailendra Verma, et al.. (2012). Cardiac Abnormalities in HIV-Positive Patients. Journal of the International Association of Providers of AIDS Care (JIAPAC). 13(1). 40–46. 17 indexed citations
19.
Puri, Seema, R. K. Marwaha, Neha Agarwal, et al.. (2007). Vitamin D status of apparently healthy schoolgirls from two different socioeconomic strata in Delhi: relation to nutrition and lifestyle. British Journal Of Nutrition. 99(4). 876–882. 179 indexed citations
20.
Marwaha, R. K., Nikhil Tandon, D. Himanshu Reddy, et al.. (2006). Peripheral bone mineral density and its predictors in healthy school girls from two different socioeconomic groups in Delhi. Osteoporosis International. 18(3). 375–383. 23 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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