John M. Ngunjiri

743 total citations
28 papers, 535 citations indexed

About

John M. Ngunjiri is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, John M. Ngunjiri has authored 28 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 10 papers in Molecular Biology and 9 papers in Infectious Diseases. Recurrent topics in John M. Ngunjiri's work include Influenza Virus Research Studies (18 papers), Respiratory viral infections research (10 papers) and Viral gastroenteritis research and epidemiology (6 papers). John M. Ngunjiri is often cited by papers focused on Influenza Virus Research Studies (18 papers), Respiratory viral infections research (10 papers) and Viral gastroenteritis research and epidemiology (6 papers). John M. Ngunjiri collaborates with scholars based in United States, Egypt and Kazakhstan. John M. Ngunjiri's co-authors include Philip I. Marcus, Margaret J. Sekellick, Michael C. Abundo, Chang-Won Lee, Hyesun Jang, Amir Ghorbani, Timothy J. Johnson, Chang Won Lee, Mahesh KC and Mohamed Elaish and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Virology.

In The Last Decade

John M. Ngunjiri

27 papers receiving 529 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John M. Ngunjiri United States 13 239 210 185 166 112 28 535
Sudhir Kumar Kashyap India 7 170 0.7× 114 0.5× 61 0.3× 144 0.9× 83 0.7× 17 423
Wael K. Elfeil Egypt 13 170 0.7× 80 0.4× 179 1.0× 90 0.5× 60 0.5× 40 384
Manolo Fernández‐Díaz Peru 12 123 0.5× 72 0.3× 100 0.5× 94 0.6× 70 0.6× 37 370
M. Palanivelu India 11 128 0.5× 56 0.3× 105 0.6× 94 0.6× 73 0.7× 27 413
Abdelfattah H. Eladl Egypt 14 210 0.9× 48 0.2× 143 0.8× 120 0.7× 85 0.8× 26 427
Ashwani Tiwari Canada 15 510 2.1× 103 0.5× 86 0.5× 127 0.8× 182 1.6× 21 903
Michela Tarantino Italy 15 150 0.6× 72 0.3× 70 0.4× 168 1.0× 90 0.8× 22 560
M.G.R. Matthijs Netherlands 13 99 0.4× 51 0.2× 281 1.5× 206 1.2× 124 1.1× 23 538
Liselotte Rothmann Norup Denmark 16 92 0.4× 71 0.3× 292 1.6× 75 0.5× 220 2.0× 36 589
Madhan Mohan Chellappa India 12 233 1.0× 60 0.3× 160 0.9× 117 0.7× 95 0.8× 28 423

Countries citing papers authored by John M. Ngunjiri

Since Specialization
Citations

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

Fields of papers citing papers by John M. Ngunjiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Ngunjiri. 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 John M. Ngunjiri. The network helps show where John M. Ngunjiri may publish in the future.

Co-authorship network of co-authors of John M. Ngunjiri

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Ngunjiri. A scholar is included among the top collaborators of John M. Ngunjiri 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 John M. Ngunjiri. John M. Ngunjiri 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.
Lee, Chang-Won, Mahesh KC, John M. Ngunjiri, Amir Ghorbani, & Kichoon Lee. (2023). TLR3 and MDA5 Knockout DF-1 cells Enhance Replication of Avian Orthoavulavirus 1. Avian Diseases. 67(1). 94–101. 4 indexed citations
4.
6.
Ngunjiri, John M., Kara Taylor, Amir Ghorbani, et al.. (2021). Assessment of two DNA extraction kits for profiling poultry respiratory microbiota from multiple sample types. PLoS ONE. 16(1). e0241732–e0241732. 12 indexed citations
7.
KC, Mahesh, John M. Ngunjiri, Joonbum Lee, et al.. (2020). Avian Toll-like receptor 3 isoforms and evaluation of Toll-like receptor 3–mediated immune responses using knockout quail fibroblast cells. Poultry Science. 99(12). 6513–6524. 5 indexed citations
8.
Ngunjiri, John M., Kara Taylor, Amir Ghorbani, et al.. (2020). Evaluation of Sampling Methods for the Study of Avian Respiratory Microbiota. Avian Diseases. 64(3). 277–285. 6 indexed citations
9.
Elaish, Mohamed, Ming Xia, John M. Ngunjiri, et al.. (2019). Protective immunity against influenza virus challenge by norovirus P particle-M2e and HA2-AtCYN vaccines in chickens. Vaccine. 37(43). 6454–6462. 10 indexed citations
10.
Ghorbani, Amir, John M. Ngunjiri, Ming Xia, et al.. (2019). Heterosubtypic protection against avian influenza virus by live attenuated and chimeric norovirus P-particle-M2e vaccines in chickens. Vaccine. 37(10). 1356–1364. 16 indexed citations
11.
Ghorbani, Amir, John M. Ngunjiri, & Chang-Won Lee. (2019). Influenza A Virus Subpopulations and Their Implication in Pathogenesis and Vaccine Development. Annual Review of Animal Biosciences. 8(1). 247–267. 8 indexed citations
12.
Ngunjiri, John M., Amir Ghorbani, Hyesun Jang, et al.. (2019). Specific-pathogen-free Turkey model for reoviral arthritis. Veterinary Microbiology. 235. 170–179. 7 indexed citations
13.
Jang, Hyesun, Mohamed Elaish, Mahesh KC, et al.. (2018). Efficacy and synergy of live-attenuated and inactivated influenza vaccines in young chickens. PLoS ONE. 13(4). e0195285–e0195285. 32 indexed citations
14.
Elaish, Mohamed, John M. Ngunjiri, Ahmed Ali, et al.. (2017). Supplementation of inactivated influenza vaccine with norovirus P particle-M2e chimeric vaccine enhances protection against heterologous virus challenge in chickens. PLoS ONE. 12(2). e0171174–e0171174. 18 indexed citations
15.
Jang, Hyesun, John M. Ngunjiri, & Chang-Won Lee. (2016). Association between Interferon Response and Protective Efficacy of NS1-Truncated Mutants as Influenza Vaccine Candidates in Chickens. PLoS ONE. 11(6). e0156603–e0156603. 24 indexed citations
16.
Ngunjiri, John M., Ahmed Ali, Prosper N. Boyaka, Philip I. Marcus, & Chang-Won Lee. (2015). In Vivo Assessment of NS1-Truncated Influenza Virus with a Novel SLSYSINWRH Motif as a Self-Adjuvanting Live Attenuated Vaccine. PLoS ONE. 10(3). e0118934–e0118934. 9 indexed citations
17.
Ngunjiri, John M., Chang-Won Lee, Ahmed Ali, & Philip I. Marcus. (2012). Influenza Virus Interferon-Inducing Particle Efficiency Is Reversed in Avian and Mammalian Cells, and Enhanced in Cells Co-Infected with Defective-Interfering Particles. Journal of Interferon & Cytokine Research. 32(6). 280–285. 16 indexed citations
19.
Marcus, Philip I., John M. Ngunjiri, & Margaret J. Sekellick. (2009). Dynamics of Biologically Active Subpopulations of Influenza Virus: Plaque-Forming, Noninfectious Cell-Killing, and Defective Interfering Particles. Journal of Virology. 83(19). 10319–10319. 1 indexed citations
20.
Marcus, Philip I., John M. Ngunjiri, & Margaret J. Sekellick. (2009). Dynamics of Biologically Active Subpopulations of Influenza Virus: Plaque-Forming, Noninfectious Cell-Killing, and Defective Interfering Particles. Journal of Virology. 83(16). 8122–8130. 51 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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