Gerard J. Nau

4.7k citations
63 papers · 3.7k indexed · 1 hit paper · h-index 31
Topics
Bacillus and Francisella bacterial research (15 papers)Bacterial Genetics and Biotechnology (9 papers)Bacteriophages and microbial interactions (8 papers)

In The Last Decade

Gerard J. Nau

63 papers receiving 3.7k citations

Hit Papers

Human macrophage activation programs induced by bacterial...20022026201020182002100200300400500

Peers

Gerard J. Nau
Comparison fields: 5 of 147
  • Molecular Biology 1.6k
  • Immunology 1.1k
  • Infectious Diseases 622
  • Epidemiology 502
  • Genetics 441
Replace Naoya Kato with:
Naoya Kato Japan
Hui Wu United States
William H. Benjamin United States
Juan Antonio López Spain
Parviz Ahmad‐Nejad Germany
Thomas Miethke Germany
Erwin Bohn Germany
Xiang Qin United States
Aldo Tagliabue Italy
Hortense Slevogt Germany
Gerard J. Nau relative to Naoya Kato Japan Naoya Kato's profile →
Citations per field
00.5×1.5×
Naoya Kato · 1×
Citations per year

Countries citing papers authored by Gerard J. Nau

Since Specialization
Citations

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

Fields of papers citing papers by Gerard J. Nau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerard J. Nau. 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 Gerard J. Nau. The network helps show where Gerard J. Nau may publish in the future.

Co-authorship network of co-authors of Gerard J. Nau

This figure shows the co-authorship network connecting the top 25 collaborators of Gerard J. Nau. A scholar is included among the top collaborators of Gerard J. Nau 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 Gerard J. Nau. Gerard J. Nau 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
#WorkIndexed citations
1 2
2 95
3 9
4 3
5 139
6 6
7 22
8 48
9 1
10 74
11 81
12 66
13 37
14 367
15 84
16
Human macrophage activation programs induced by bacterial pathogensbreakdown →
570
17 71
18 9
19 17
20 22

About Gerard J. Nau

Gerard J. Nau is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Immunology, having authored 63 papers that have together received 3.7k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (15 papers), Bacterial Genetics and Biotechnology (9 papers) and Bacteriophages and microbial interactions (8 papers). The work is most often cited by research in Immunology (1.1k citations), Endocrinology (174 citations) and Infectious Diseases (622 citations). Gerard J. Nau has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Richard A. Young, Ziv Bar‐Joseph, Jason Ernst, Dawn M. O’Dee, Ann Schlesinger, Cory M. Robinson, Eric S. Lander, Ezra G. Jennings, Jeffrey S. Berman and Geoffrey Chupp. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Blood.

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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