Janko Nikolich‐Žugich

13.9k total citations · 2 hit papers
143 papers, 8.7k citations indexed

About

Janko Nikolich‐Žugich is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Janko Nikolich‐Žugich has authored 143 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Immunology, 41 papers in Epidemiology and 20 papers in Infectious Diseases. Recurrent topics in Janko Nikolich‐Žugich's work include Immune Cell Function and Interaction (60 papers), T-cell and B-cell Immunology (57 papers) and Cytomegalovirus and herpesvirus research (34 papers). Janko Nikolich‐Žugich is often cited by papers focused on Immune Cell Function and Interaction (60 papers), T-cell and B-cell Immunology (57 papers) and Cytomegalovirus and herpesvirus research (34 papers). Janko Nikolich‐Žugich collaborates with scholars based in United States, Australia and United Kingdom. Janko Nikolich‐Žugich's co-authors include Ilhem Messaoudi, Jennifer L. Uhrlaub, Mark K. Slifka, James D. Brien, Megan J. Smithey, Mindy J. Fain, Joël LeMaoult, Alec J. Hirsch, Brian D. Rudd and Kenneth S. Knox and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Janko Nikolich‐Žugich

141 papers receiving 8.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The twilight of immunity: emerging concepts in aging of the immune system

2017 756 citations Janko Nikolich‐Žugich profile →
Long COVID: a clinical update

2024 124 citations Janko Nikolich‐Žugich et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Janko Nikolich‐Žugich United States	50	4.4k	2.1k	1.5k	1.4k	960	143	8.7k
Daniel M. Altmann United Kingdom	43	3.8k 0.9×	1.6k 0.7×	2.2k 1.4×	1.8k 1.3×	548 0.6×	162	9.2k
Beatrix Grubeck‐Loebenstein Austria	52	4.3k 1.0×	2.8k 1.3×	1.1k 0.7×	1.5k 1.1×	718 0.7×	164	9.6k
Thomas E. Lane United States	54	4.5k 1.0×	1.8k 0.8×	1.9k 1.2×	2.0k 1.5×	1.5k 1.6×	168	10.6k
Katie L. Flanagan Australia	35	2.9k 0.6×	1.5k 0.7×	1.8k 1.2×	1.3k 0.9×	798 0.8×	135	7.9k
Alexis M. Kalergis Chile	50	4.3k 1.0×	2.9k 1.4×	2.0k 1.3×	2.7k 2.0×	838 0.9×	350	11.3k
Tracy Hussell United Kingdom	53	5.1k 1.2×	3.2k 1.5×	1.9k 1.2×	2.2k 1.6×	987 1.0×	145	11.5k
Jan Ernerudh Sweden	52	4.2k 1.0×	1.3k 0.6×	1.1k 0.7×	892 0.7×	420 0.4×	271	9.1k
Jacob D. Estes United States	54	4.8k 1.1×	2.3k 1.1×	3.2k 2.1×	1.5k 1.1×	558 0.6×	137	10.1k
Gregory D. Sempowski United States	57	4.5k 1.0×	1.6k 0.8×	1.1k 0.7×	2.2k 1.6×	1.3k 1.3×	172	9.9k
Xavier Álvarez United States	47	2.7k 0.6×	1.6k 0.8×	2.7k 1.7×	1.4k 1.0×	1.1k 1.2×	137	7.6k

Countries citing papers authored by Janko Nikolich‐Žugich

Since Specialization

Citations

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

Fields of papers citing papers by Janko Nikolich‐Žugich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janko Nikolich‐Žugich. 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 Janko Nikolich‐Žugich. The network helps show where Janko Nikolich‐Žugich may publish in the future.

Co-authorship network of co-authors of Janko Nikolich‐Žugich

This figure shows the co-authorship network connecting the top 25 collaborators of Janko Nikolich‐Žugich. A scholar is included among the top collaborators of Janko Nikolich‐Žugich 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 Janko Nikolich‐Žugich. Janko Nikolich‐Žugich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jergović, Mladen, et al.. (2024). Virological, innate, and adaptive immune profiles shaped by variation in route and age of host in murine cytomegalovirus infection. Journal of Virology. 98(5). e0198623–e0198623. 1 indexed citations

Russell, Samantha, Karen Parker, Andrea Lehoczki, et al.. (2024). Post-acute sequelae of SARS-CoV-2 infection (Long COVID) in older adults. GeroScience. 46(6). 6563–6581. 14 indexed citations

McGovern, Kathryn E., et al.. (2023). The aging of the immune system and its implications for transplantation. GeroScience. 45(3). 1383–1400. 14 indexed citations

Watanabe, Makiko, Mladen Jergović, Bonnie LaFleur, et al.. (2022). Inflammatory and immune markers in HIV ‐infected older adults on long‐term antiretroviral therapy: Persistent elevation of sCD14 and of proinflammatory effector memory T cells. Aging Cell. 21(9). e13681–e13681. 11 indexed citations

Uhrlaub, Jennifer L., et al.. (2022). Lifelong cytomegalovirus and early‐LIFE irradiation synergistically potentiate age‐related defects in response to vaccination and infection. Aging Cell. 21(7). e13648–e13648. 1 indexed citations

Uhrlaub, Jennifer L., Mladen Jergović, Christine M. Bradshaw, et al.. (2022). Quantitative restoration of immune defense in old animals determined by naive antigen‐specific CD8 T‐cell numbers. Aging Cell. 21(4). e13582–e13582. 6 indexed citations

Sonar, Sandip Ashok, Jennifer L. Uhrlaub, Gregory D. Sempowski, et al.. (2022). Early age–related atrophy of cutaneous lymph nodes precipitates an early functional decline in skin immunity in mice with aging. Proceedings of the National Academy of Sciences. 119(17). e2121028119–e2121028119. 12 indexed citations

Meier, Helen C.S., Sithara Vivek, Eric T. Klopack, et al.. (2022). Evaluation of T-cell aging-related immune phenotypes in the context of biological aging and multimorbidity in the Health and Retirement Study. Immunity & Ageing. 19(1). 33–33. 28 indexed citations

Jergović, Mladen, Jennifer L. Uhrlaub, Shawn C. Beitel, et al.. (2022). Cutting Edge: T Cell Responses to B.1.1.529 (Omicron) SARS-CoV-2 Variant Induced by COVID-19 Infection and/or mRNA Vaccination Are Largely Preserved. The Journal of Immunology. 208(11). 2461–2465. 11 indexed citations

10.

Kim, Sangsik, Brandon Nguyen, Lane E. Breshears, et al.. (2021). Direct capture and smartphone quantification of airborne SARS-CoV-2 on a paper microfluidic chip. Biosensors and Bioelectronics. 200. 113912–113912. 32 indexed citations

11.

Sitnik, Katarzyna, et al.. (2019). Life-long control of cytomegalovirus (CMV) by T resident memory cells in the adipose tissue results in inflammation and hyperglycemia. PLoS Pathogens. 15(6). e1007890–e1007890. 17 indexed citations

12.

Smithey, Megan J., Vanessa Venturi, Miles P. Davenport, et al.. (2018). Lifelong CMV infection improves immune defense in old mice by broadening the mobilized TCR repertoire against third-party infection. Proceedings of the National Academy of Sciences. 115(29). E6817–E6825. 32 indexed citations

13.

Goldberg, Emily L., Melissa J. Romero‐Aleshire, Kristin R. Renkema, et al.. (2014). Lifespan‐extending caloric restriction or m TOR inhibition impair adaptive immunity of old mice by distinct mechanisms. Aging Cell. 14(1). 130–138. 81 indexed citations

14.

Pollow, Dennis P., Jennifer L. Uhrlaub, Melissa J. Romero‐Aleshire, et al.. (2014). Sex Differences in T-Lymphocyte Tissue Infiltration and Development of Angiotensin II Hypertension. Hypertension. 64(2). 384–390. 118 indexed citations

15.

Wertheimer, Anne M., Michael S. Bennett, Byung Park, et al.. (2014). Aging and Cytomegalovirus Infection Differentially and Jointly Affect Distinct Circulating T Cell Subsets in Humans. The Journal of Immunology. 192(5). 2143–2155. 261 indexed citations

16.

Lazear, Helen M., Alissa M. Lancaster, Courtney Wilkins, et al.. (2013). Correction: IRF-3, IRF-5, and IRF-7 Coordinately Regulate the Type I IFN Response in Myeloid Dendritic Cells Downstream of MAVS Signaling. PLoS Pathogens. 9(5). 36 indexed citations

17.

Brien, James D., Jennifer L. Uhrlaub, Alec J. Hirsch, Clayton A. Wiley, & Janko Nikolich‐Žugich. (2009). Key role of T cell defects in age-related vulnerability to West Nile virus. The Journal of Experimental Medicine. 206(12). 2735–2745. 121 indexed citations

18.

Messaoudi, Ilhem, et al.. (2006). Age-Related CD8+ T Cell Clonal Expansions Express Elevated Levels of CD122 and CD127 and Display Defects in Perceiving Homeostatic Signals. The Journal of Immunology. 177(5). 2784–2792. 34 indexed citations

19.

Nikolich‐Žugich, Janko, Daved H. Fremont, Michael J. Miley, & Ilhem Messaoudi. (2004). The role of mhc polymorphism in anti-microbial resistance. Microbes and Infection. 6(5). 501–512. 44 indexed citations

20.

Messaoudi, Ilhem, José A. Guevara Patiño, Ruben Dyall, Joël LeMaoult, & Janko Nikolich‐Žugich. (2002). Direct Link Between mhc Polymorphism, T Cell Avidity, and Diversity in Immune Defense. Science. 298(5599). 1797–1800. 248 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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