Kenneth J. Lohmann

7.8k total citations
108 papers, 5.5k citations indexed

About

Kenneth J. Lohmann is a scholar working on Ecology, Nature and Landscape Conservation and Biophysics. According to data from OpenAlex, Kenneth J. Lohmann has authored 108 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Ecology, 70 papers in Nature and Landscape Conservation and 21 papers in Biophysics. Recurrent topics in Kenneth J. Lohmann's work include Turtle Biology and Conservation (60 papers), Marine animal studies overview (57 papers) and Avian ecology and behavior (30 papers). Kenneth J. Lohmann is often cited by papers focused on Turtle Biology and Conservation (60 papers), Marine animal studies overview (57 papers) and Avian ecology and behavior (30 papers). Kenneth J. Lohmann collaborates with scholars based in United States, Ecuador and Australia. Kenneth J. Lohmann's co-authors include Catherine M. F. Lohmann, Nathan F. Putman, Sönke Johnsen, Larry C. Boles, Courtney S. Endres, Larisa Avens, Michael Salmon, Shaun D. Cain, A. O. Dennis Willows and David L. G. Noakes and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Kenneth J. Lohmann

103 papers receiving 5.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth J. Lohmann United States 42 3.1k 2.3k 1.2k 1.1k 779 108 5.5k
Sönke Johnsen United States 42 1.5k 0.5× 825 0.4× 481 0.4× 837 0.8× 244 0.3× 172 6.1k
John C. Montgomery New Zealand 45 4.3k 1.4× 3.1k 1.3× 158 0.1× 1.9k 1.8× 165 0.2× 178 7.1k
Henrik Mouritsen Germany 47 2.7k 0.8× 351 0.2× 3.0k 2.5× 381 0.4× 923 1.2× 114 7.0k
Paolo Luschi Italy 38 2.3k 0.7× 2.4k 1.0× 344 0.3× 1.4k 1.3× 78 0.1× 94 3.8k
Michael M. Walker United States 24 944 0.3× 400 0.2× 942 0.8× 200 0.2× 678 0.9× 79 2.6k
Hugh Ford Australia 33 2.2k 0.7× 1.4k 0.6× 507 0.4× 387 0.4× 183 0.2× 94 3.5k
Susanne Åkesson Sweden 50 5.9k 1.9× 1.7k 0.7× 406 0.3× 1.3k 1.2× 88 0.1× 196 8.0k
Roswitha Wiltschko Germany 52 4.0k 1.3× 456 0.2× 5.0k 4.0× 856 0.8× 2.0k 2.5× 191 9.3k
Catherine M. F. Lohmann United States 20 1.3k 0.4× 988 0.4× 355 0.3× 402 0.4× 214 0.3× 29 2.0k
Wolfgang Wiltschko Germany 56 4.6k 1.5× 527 0.2× 5.9k 4.7× 1.0k 1.0× 2.2k 2.9× 206 10.7k

Countries citing papers authored by Kenneth J. Lohmann

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth J. Lohmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth J. Lohmann

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth J. Lohmann. A scholar is included among the top collaborators of Kenneth J. Lohmann 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 Kenneth J. Lohmann. Kenneth J. Lohmann 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
1.
Lohmann, Catherine M. F., et al.. (2025). Learned magnetic map cues and two mechanisms of magnetoreception in turtles. Nature. 638(8052). 1015–1022. 7 indexed citations
2.
Lohmann, Catherine M. F., et al.. (2025). Disruption of the sea turtle magnetic map sense by a magnetic pulse. Journal of Experimental Biology. 228(22).
3.
Alarcón‐Ruales, Daniela, Emma Cohen, Eran Levin, et al.. (2025). Changes in marine iguana (Amblyrhynchus cristatus) heart rates suggest reduced metabolism during El Niño events. Journal of Zoology. 325(4). 276–282. 1 indexed citations
4.
Taylor, Brian K., et al.. (2025). Neuromorphic encoding strategies for a noisy magnetic sense. Journal of The Royal Society Interface. 22(227). 20240810–20240810. 1 indexed citations
5.
Lohmann, Kenneth J., et al.. (2022). Magnetic maps in animal navigation. Journal of Comparative Physiology A. 208(1). 41–67. 39 indexed citations
6.
Taylor, Brian K., et al.. (2021). Long-distance transequatorial navigation using sequential measurements of magnetic inclination angle. Journal of The Royal Society Interface. 18(174). 20200887–20200887. 9 indexed citations
7.
Putman, Nathan F., et al.. (2020). Magnetoreception in fishes: the effect of magnetic pulses on orientation of juvenile Pacific salmon. Journal of Experimental Biology. 223(Pt 10). 16 indexed citations
8.
Johnsen, Sönke, Kenneth J. Lohmann, & Eric J. Warrant. (2020). Animal navigation: a noisy magnetic sense?. Journal of Experimental Biology. 223(18). 23 indexed citations
9.
Lohmann, Kenneth J. & Catherine M. F. Lohmann. (2019). There and back again: natal homing by magnetic navigation in sea turtles and salmon. Journal of Experimental Biology. 222(Suppl_1). 59 indexed citations
10.
Petritz, Olivia A., et al.. (2019). Effective mydriasis in juvenile loggerhead turtles(Caretta caretta) following topical administration of rocuronium bromide and 10% phenylephrine. Veterinary Ophthalmology. 23(1). 37–43. 6 indexed citations
11.
Lohmann, Kenneth J., et al.. (2018). Evidence that Magnetic Navigation and Geomagnetic Imprinting Shape Spatial Genetic Variation in Sea Turtles. Current Biology. 28(8). 1325–1329.e2. 32 indexed citations
12.
Muñoz‐Pérez, Juan Pablo, Gregory A. Lewbart, Daniela Alarcón‐Ruales, et al.. (2017). Blood gases, biochemistry and haematology of Galápagos hawksbill turtles (Eretmochelys imbricata). Conservation Physiology. 5(1). cox028–cox028. 24 indexed citations
13.
Johnston, David W., et al.. (2017). Quantifying Nearshore Sea Turtle Densities: Applications of Unmanned Aerial Systems for Population Assessments. Scientific Reports. 7(1). 17690–17690. 47 indexed citations
14.
Endres, Courtney S., et al.. (2016). Multi-Modal Homing in Sea Turtles: Modeling Dual Use of Geomagnetic and Chemical Cues in Island-Finding. Frontiers in Behavioral Neuroscience. 10. 19–19. 36 indexed citations
15.
Lewbart, Gregory A., et al.. (2014). Blood Gases, Biochemistry, and Hematology of Galapagos Green Turtles (Chelonia Mydas). PLoS ONE. 9(5). e96487–e96487. 52 indexed citations
16.
Putman, Nathan F., et al.. (2014). An Inherited Magnetic Map Guides Ocean Navigation in Juvenile Pacific Salmon. Current Biology. 24(4). 446–450. 158 indexed citations
17.
Putman, Nathan F., et al.. (2013). Evidence for Geomagnetic Imprinting as a Homing Mechanism in Pacific Salmon. Current Biology. 23(4). 312–316. 147 indexed citations
18.
Fuxjager, Matthew J., Brian S. Eastwood, & Kenneth J. Lohmann. (2011). Orientation of hatchling loggerhead sea turtles to regional magnetic fields along a transoceanic migratory pathway. Journal of Experimental Biology. 214(15). 2504–2508. 41 indexed citations
19.
Lohmann, Kenneth J., et al.. (2001). Regional Magnetic Fields as Navigational Markers for Sea Turtles. Science. 294(5541). 364–366. 210 indexed citations
20.
Lohmann, Kenneth J. & Sönke Johnsen. (2000). The neurobiology of magnetoreception in vertebrate animals. Trends in Neurosciences. 23(4). 153–159. 94 indexed citations

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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