N. Kovács

1.8k total citations · 1 hit paper
7 papers, 1.5k citations indexed

About

N. Kovács is a scholar working on Infectious Diseases, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, N. Kovács has authored 7 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Inorganic Chemistry and 1 paper in Molecular Biology. Recurrent topics in N. Kovács's work include Coconut Research and Applications (2 papers), HIV Research and Treatment (1 paper) and Microbial Metabolism and Applications (1 paper). N. Kovács is often cited by papers focused on Coconut Research and Applications (2 papers), HIV Research and Treatment (1 paper) and Microbial Metabolism and Applications (1 paper). N. Kovács collaborates with scholars based in Australia, United States and Austria. N. Kovács's co-authors include Mary F. Kearney, Wei Shao, Catherine Rehm, Elizabeth M. Anderson, John M. Coffin, John W. Mellors, Frank Maldarelli, Jonathan Spindler, Michiel Wijnveld and Laura Hermann and has published in prestigious journals such as Nature, The Lancet and International Journal of Molecular Sciences.

In The Last Decade

N. Kovács

7 papers receiving 1.4k 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.

Identification of Pseudomonas pyocyanea by the Oxidase Reaction

1956 1.3k citations N. Kovács Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N. Kovács Australia	5	772	458	435	173	166	7	1.5k
A G Steigerwalt United States	24	673 0.9×	334 0.7×	233 0.5×	26 0.2×	303 1.8×	25	1.8k
M. Dorsch Australia	22	723 0.9×	397 0.9×	219 0.5×	14 0.1×	204 1.2×	30	1.7k
Jeffrey D. Wisotzkey United States	6	909 1.2×	543 1.2×	249 0.6×	11 0.1×	208 1.3×	9	1.5k
Mikael Lenz Strube Denmark	22	767 1.0×	450 1.0×	461 1.1×	23 0.1×	178 1.1×	72	1.9k
Alessandro M. Varani Brazil	26	1.0k 1.3×	571 1.2×	712 1.6×	19 0.1×	244 1.5×	99	2.4k
Sohail Naushad Canada	20	803 1.0×	382 0.8×	333 0.8×	21 0.1×	399 2.4×	39	1.8k
Yan Luo China	29	939 1.2×	502 1.1×	375 0.9×	41 0.2×	1.1k 6.6×	122	2.7k
Aidan C. Parte Germany	4	2.0k 2.6×	1.1k 2.4×	587 1.3×	14 0.1×	317 1.9×	6	2.9k
Jianhua Guo China	21	542 0.7×	151 0.3×	1.1k 2.5×	17 0.1×	96 0.6×	37	1.7k
Volker Gürtler Australia	16	842 1.1×	422 0.9×	365 0.8×	7 0.0×	247 1.5×	44	1.8k

Countries citing papers authored by N. Kovács

Since Specialization

Citations

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

Fields of papers citing papers by N. Kovács

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Kovács

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Kovács, N., Anna‐Margarita Schötta, Laura Hermann, et al.. (2024). Optimising Transformation Efficiency in Borrelia: Unravelling the Role of the Restriction-Modification System of Borrelia afzelii and Borrelia garinii. International Journal of Molecular Sciences. 25(21). 11343–11343. 1 indexed citations

2.

Kearney, Mary F., Jonathan Spindler, Wei Shao, et al.. (2014). Lack of Detectable HIV-1 Molecular Evolution during Suppressive Antiretroviral Therapy. PLoS Pathogens. 10(3). e1004010–e1004010. 172 indexed citations

3.

Kovács, N., et al.. (1967). A comparative trial of Rappaport enrichment medium for the isolation of Salmonellae from faeces. Journal of Clinical Pathology. 20(3). 290–293. 11 indexed citations

4.

Kovács, N., et al.. (1964). An improved method of isolating salmonellae from contaminated desiccated coconut. Journal of Clinical Pathology. 17(1). 75–78. 17 indexed citations

5.

Kovács, N.. (1963). THE OXIDASE REACTION: A RAPID AND SIMPLE METHOD OF RECOGNISING CHOLERA VIBRIOS. The Lancet. 282(7306). 497–498. 2 indexed citations

6.

Kovács, N.. (1959). SALMONELLÆ IN DESICCATED COCONUT, EGG PULP, FERTILIZER, MEAT‐MEAL AND MESENTERIC GLANDS: PRELIMINARY REPORT. The Medical Journal of Australia. 1(17). 557–559. 15 indexed citations

7.

Kovács, N.. (1956). Identification of Pseudomonas pyocyanea by the Oxidase Reaction. Nature. 178(4535). 703–703. 1321 indexed citations breakdown →

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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