Rahul K. Nelli

1.5k total citations · 2 hit papers
35 papers, 1.0k citations indexed

About

Rahul K. Nelli is a scholar working on Infectious Diseases, Epidemiology and Animal Science and Zoology. According to data from OpenAlex, Rahul K. Nelli has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 15 papers in Epidemiology and 12 papers in Animal Science and Zoology. Recurrent topics in Rahul K. Nelli's work include Viral gastroenteritis research and epidemiology (12 papers), Animal Virus Infections Studies (12 papers) and SARS-CoV-2 and COVID-19 Research (10 papers). Rahul K. Nelli is often cited by papers focused on Viral gastroenteritis research and epidemiology (12 papers), Animal Virus Infections Studies (12 papers) and SARS-CoV-2 and COVID-19 Research (10 papers). Rahul K. Nelli collaborates with scholars based in United States, United Kingdom and Germany. Rahul K. Nelli's co-authors include Suresh V. Kuchipudi, G.A. White, Kin‐Chow Chang, Belinda Baquero-Pérez, Stephen Dunham, Ian H. Brown, Marek J. Slomka, Meera Surendran Nair, G. Andres Contreras and Sharon M. Brookes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Virology and Scientific Reports.

In The Last Decade

Rahul K. Nelli

32 papers receiving 997 citations

Hit Papers

Multiple spillovers from ... 2022 2026 2023 2024 2022 2024 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul K. Nelli United States 16 488 383 311 218 191 35 1.0k
Birgitte Martine Viuff Denmark 17 507 1.0× 341 0.9× 302 1.0× 176 0.8× 209 1.1× 37 1.2k
Francesca Chianini United Kingdom 23 277 0.6× 328 0.9× 181 0.6× 282 1.3× 128 0.7× 75 1.5k
Sateesh Krishnamurthy United States 16 723 1.5× 372 1.0× 102 0.3× 262 1.2× 186 1.0× 20 1.1k
Zhangyong Ning China 19 662 1.4× 334 0.9× 398 1.3× 218 1.0× 310 1.6× 67 1.2k
Yuekun Lang United States 19 546 1.1× 387 1.0× 241 0.8× 150 0.7× 109 0.6× 38 911
Donglai Wu China 20 170 0.3× 384 1.0× 234 0.8× 164 0.8× 192 1.0× 67 892
Jiao Hu China 23 1.2k 2.5× 540 1.4× 606 1.9× 266 1.2× 436 2.3× 128 1.8k
Akiko Makino Japan 15 440 0.9× 335 0.9× 86 0.3× 119 0.5× 180 0.9× 43 776
Pamela Freiden United States 22 367 0.8× 669 1.7× 137 0.4× 287 1.3× 185 1.0× 40 1.2k
Kerstin H. Mair Austria 15 153 0.3× 220 0.6× 156 0.5× 224 1.0× 433 2.3× 33 883

Countries citing papers authored by Rahul K. Nelli

Since Specialization
Citations

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

Fields of papers citing papers by Rahul K. Nelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rahul K. Nelli. 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 Rahul K. Nelli. The network helps show where Rahul K. Nelli may publish in the future.

Co-authorship network of co-authors of Rahul K. Nelli

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul K. Nelli. A scholar is included among the top collaborators of Rahul K. Nelli 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 Rahul K. Nelli. Rahul K. Nelli 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
3.
Giménez‐Lirola, Luis G., Jesús Hernández, Rahul K. Nelli, et al.. (2024). Detection and Monitoring of Highly Pathogenic Influenza A Virus 2.3.4.4b Outbreak in Dairy Cattle in the United States. Viruses. 16(9). 1376–1376. 8 indexed citations
5.
Nelli, Rahul K., Rachel M. Ruden, Yongming Sang, et al.. (2024). How do deer respiratory epithelial cells weather the initial storm of SARS-CoV-2 WA1/2020 strain?. Microbiology Spectrum. 12(2). e0252423–e0252423.
6.
Singh, Pallavi, et al.. (2023). Molecular mechanisms of human coronavirus NL63 infection and replication. Virus Research. 327. 199078–199078. 5 indexed citations
8.
Carrillo-Ávila, José Antonio, Jianqiang Zhang, Ting‐Yu Cheng, et al.. (2022). The N-terminal Subunit of the Porcine Deltacoronavirus Spike Recombinant Protein (S1) Does Not Serologically Cross-react with Other Porcine Coronaviruses. Pathogens. 11(8). 910–910. 1 indexed citations
9.
Li, Yihang, Rahul K. Nelli, Mrigendra Rajput, et al.. (2022). Developmental alterations of intestinal SGLT1 and GLUT2 induced by early weaning coincides with persistent low-grade metabolic inflammation in female pigs. American Journal of Physiology-Gastrointestinal and Liver Physiology. 322(3). G346–G359. 9 indexed citations
10.
Rauh, Rolf, William M. Nelson, Jianqiang Zhang, et al.. (2022). Characterization of the Subclinical Infection of Porcine Deltacoronavirus in Grower Pigs under Experimental Conditions. Viruses. 14(10). 2144–2144. 3 indexed citations
11.
Willgert, Katriina, Xavier Didelot, Suresh V. Kuchipudi, et al.. (2022). Transmission history of SARS-CoV-2 in humans and white-tailed deer. Scientific Reports. 12(1). 12094–12094. 13 indexed citations
12.
Kuchipudi, Suresh V., Meera Surendran Nair, Rachel M. Ruden, et al.. (2022). Multiple spillovers from humans and onward transmission of SARS-CoV-2 in white-tailed deer. Proceedings of the National Academy of Sciences. 119(6). 124 indexed citations breakdown →
13.
Piñeyro, Pablo, Rolf Rauh, William M. Nelson, et al.. (2021). Porcine Hemagglutinating Encephalomyelitis Virus InfectionIn VivoandEx Vivo. Journal of Virology. 95(12). 16 indexed citations
14.
Kuchipudi, Suresh V., et al.. (2021). Sialic Acid Receptors: The Key to Solving the Enigma of Zoonotic Virus Spillover. Viruses. 13(2). 262–262. 57 indexed citations
15.
Sang, Yongming, Laura C. Miller, Rahul K. Nelli, & Luis G. Giménez‐Lirola. (2021). Harness Organoid Models for Virological Studies in Animals: A Cross-Species Perspective. Frontiers in Microbiology. 12. 725074–725074. 7 indexed citations
16.
Sledge, Dodd G., et al.. (2019). Histopathologic Findings Following Experimental Equine Herpesvirus 1 Infection of Horses. Frontiers in Veterinary Science. 6. 59–59. 14 indexed citations
17.
Nelli, Rahul K., Jenne De Koster, Jennifer N. Roberts, et al.. (2019). Impact of uterine macrophage phenotype on placental retention in dairy cows. Theriogenology. 127. 145–152. 17 indexed citations
18.
Baquero-Pérez, Belinda, Suresh V. Kuchipudi, Rahul K. Nelli, & Kin‐Chow Chang. (2012). A simplified but robust method for the isolation of avian and mammalian muscle satellite cells. BMC Cell Biology. 13(1). 16–16. 50 indexed citations
19.
Nelli, Rahul K., Suresh V. Kuchipudi, G.A. White, et al.. (2010). Comparative distribution of human and avian type sialic acid influenza receptors in the pig. BMC Veterinary Research. 6(1). 4–4. 179 indexed citations
20.
Kuchipudi, Suresh V., Rahul K. Nelli, & G.A. White. (2009). Differences in influenza virus receptors in chickens and ducks: Implications for interspecies transmission. Journal of Molecular and Genetic Medicine. 3(1). 143–51. 114 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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