Jeffrey S Haas

790 citations
8 papers · 500 indexed · h-index 6
Topics
Radioactive contamination and transfer (2 papers)Nuclear Physics and Applications (2 papers)Pesticide Residue Analysis and Safety (1 paper)

In The Last Decade

Jeffrey S Haas

8 papers receiving 471 citations

Peers

Jeffrey S Haas
Comparison fields: 5 of 87
  • Plant Science 319
  • Molecular Biology 283
  • Ecology, Evolution, Behavior and Systematics 59
  • Genetics 55
  • Ecology 36
Replace Kenneth G. Wilson with:
Kenneth G. Wilson United States
И. О. Андреев Ukraine
Tina Lopes Portugal
Burke K. Zimmerman United States
Brian Mathew United Kingdom
Larry E. Wimmers United States
Susanna Flavia Boxall United Kingdom
Katarína Klubicová Slovakia
Beverly J. Agtuca United States
Joakim Lundqvist Sweden
Jeffrey S Haas relative to Kenneth G. Wilson United States Kenneth G. Wilson's profile →
Citations per field
00.5×8.5×
Kenneth G. Wilson · 1×
Citations per year

Countries citing papers authored by Jeffrey S Haas

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey S Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey S Haas

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 249
2 71
3 90
4
The Assassination of Fred Hampton: How the FBI and the Chicago Police Murdered a Black Panther
31
5 20
6 33
7 5
8 1

About Jeffrey S Haas

Jeffrey S Haas is a scholar working on Radiation, Geochemistry and Petrology and Safety, Risk, Reliability and Quality, having authored 8 papers that have together received 500 indexed citations. Recurring topics across this work include Radioactive contamination and transfer (2 papers), Nuclear Physics and Applications (2 papers) and Pesticide Residue Analysis and Safety (1 paper). The work is most often cited by research in Plant Science (319 citations), Molecular Biology (283 citations) and Ecology, Evolution, Behavior and Systematics (59 citations). Jeffrey S Haas has collaborated with scholars based in United States, Saudi Arabia and South Korea. Frequent co-authors include Hans J. Bohnert, Maheshi Dassanayake, John M. Cheeseman, Alvaro G. Hernandez, Jian‐Kang Zhu, Dong‐Ha Oh, Hyewon Hong, Dae‐Jin Yun, Shahjahan Ali and Ray A. Bressan. Their work appears in journals such as Nature Genetics, PLANT PHYSIOLOGY and New Phytologist.

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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