Nathan Haseley

18 total papers · 1.2k total citations
8 papers, 570 citations indexed

About

Nathan Haseley is a scholar working on Molecular Biology, Epidemiology and Molecular Medicine. According to data from OpenAlex, Nathan Haseley has authored 8 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Molecular Medicine. Recurrent topics in Nathan Haseley's work include Antibiotic Resistance in Bacteria (3 papers), Mycobacterium research and diagnosis (3 papers) and Genomics and Phylogenetic Studies (2 papers). Nathan Haseley is often cited by papers focused on Antibiotic Resistance in Bacteria (3 papers), Mycobacterium research and diagnosis (3 papers) and Genomics and Phylogenetic Studies (2 papers). Nathan Haseley collaborates with scholars based in United States, Taiwan and Canada. Nathan Haseley's co-authors include Deborah T. Hung, Sarah Schmidt Grant, Benjamin Kaufmann-Malaga, Roi Avraham, Douglas Brown, Alex K. Shalek, John J. Trombetta, Humberto Jijon, Rahul Satija and Aviv Regev and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Protocols.

In The Last Decade

Nathan Haseley

8 papers receiving 564 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nathan Haseley	307	151	143	107	93	8	570
Rustin R. Lovewell	308 1.0×	111 0.7×	106 0.7×	114 1.1×	56 0.6×	11	551
Brian M. Schuster	318 1.0×	252 1.7×	197 1.4×	58 0.5×	64 0.7×	15	682
Anne‐Laure Prunier	274 0.9×	232 1.5×	79 0.6×	117 1.1×	139 1.5×	9	529
Kerstin Henninger	326 1.1×	136 0.9×	113 0.8×	88 0.8×	108 1.2×	6	686
Jason Munguia	257 0.8×	107 0.7×	127 0.9×	159 1.5×	65 0.7×	10	611
Alaina R. Martinez	260 0.8×	113 0.7×	134 0.9×	49 0.5×	99 1.1×	8	526
Jennifer E. Oyler	257 0.8×	58 0.4×	85 0.6×	226 2.1×	105 1.1×	10	685
C. N. Kwan	267 0.9×	220 1.5×	154 1.1×	31 0.3×	102 1.1×	17	617
Perrine Bomme	342 1.1×	267 1.8×	164 1.1×	40 0.4×	55 0.6×	13	685
Alyaa M. Abdel‐Haleem	281 0.9×	134 0.9×	150 1.0×	55 0.5×	44 0.5×	15	615

Countries citing papers authored by Nathan Haseley

Since Specialization

Citations

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

Fields of papers citing papers by Nathan Haseley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Haseley

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

All Works

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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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