Joshua S. Weitz

14.8k citations
170 papers · 9.0k indexed · 1 hit paper · h-index 54
Topics
Bacteriophages and microbial interactions (63 papers)Evolution and Genetic Dynamics (54 papers)COVID-19 epidemiological studies (33 papers)

In The Last Decade

Joshua S. Weitz

163 papers receiving 8.8k citations

Hit Papers

Synergy between the Host Immune System and Bacteriophage ...20172026202020232017100200300

Peers

Joshua S. Weitz
Comparison fields: 5 of 187
  • Ecology 4.2k
  • Plant Science 2.5k
  • Molecular Biology 2.2k
  • Genetics 1.9k
  • Modeling and Simulation 859
Replace Daniel T. Haydon with:
Daniel T. Haydon United Kingdom
Andrew F. Read United Kingdom
Guy Baele Belgium
Jeffrey P. Townsend United States
Tommy Tsan‐Yuk Lam Hong Kong
Philippe Lemey Belgium
Frédéric Thomas France
Peter J. Hudson United States
Sergei L. Kosakovsky Pond United States
Sergé Morand France
Joshua S. Weitz relative to Daniel T. Haydon United Kingdom Daniel T. Haydon's profile →
Citations per field
00.5×3.2×
Daniel T. Haydon · 1×
Citations per year

Countries citing papers authored by Joshua S. Weitz

Since Specialization
Citations

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

Fields of papers citing papers by Joshua S. Weitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua S. Weitz. 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 Joshua S. Weitz. The network helps show where Joshua S. Weitz may publish in the future.

Co-authorship network of co-authors of Joshua S. Weitz

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua S. Weitz. A scholar is included among the top collaborators of Joshua S. Weitz 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 Joshua S. Weitz. Joshua S. Weitz 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 1
2 4
3 2
4 2
5 10
6 7
7 13
8 58
9 114
10 32
11 76
12 29
13 39
14 22
15 51
16 208
17 8
18 177
19 345
20 86

About Joshua S. Weitz

Joshua S. Weitz is a scholar working on Modeling and Simulation, Ecology and Genetics, having authored 170 papers that have together received 9.0k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (63 papers), Evolution and Genetic Dynamics (54 papers) and COVID-19 epidemiological studies (33 papers). The work is most often cited by research in Modeling and Simulation (859 citations), Ecology (4.2k citations) and Endocrinology (418 citations). Joshua S. Weitz has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Jonathan Dushoff, Steven W. Wilhelm, Peter Sheridan Dodds, Justin R. Meyer, D. Rothman, César O. Flores, Yuriy Mileyko, Sergi Valverde, Chung Yin Leung and Charles A. Price. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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