Daniel J. Jagger

61 papers receiving 2.2k citations

Peers

Daniel J. Jagger
Comparison fields: 5 of 101
  • Sensory Systems 1.1k
  • Endocrine and Autonomic Systems 266
  • Physiology 149
  • Neurology 235
  • Genetics 578
Replace Konrad Noben‐Trauth with:
Konrad Noben‐Trauth United States
Xi Lin United States
Hans‐Henrik M. Dahl Australia
Helen J. Kennedy United Kingdom
Karen P. Steel United Kingdom
Hong-Bo Zhao United States
Jean-Pierre Hardelin France
Alain Dabdoub United States
Mirna Mustapha France
Pavel Seeman Czechia
Daniel J. Jagger relative to Konrad Noben‐Trauth United States Konrad Noben‐Trauth's profile →
Citations per field
00.5×1.5×1.8×
Konrad Noben‐Trauth · 1×
Citations per year

Countries citing papers authored by Daniel J. Jagger

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Jagger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel J. Jagger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel J. Jagger Line = papers co-authored together Daniel J. Jagger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005472
2 199891
3 200690
4 201486
5 201081
6 200271
7 201270
8 200370
9 201268
10 200368
11 201460
12 200753
13 201553
14 202246
15 200745
16 200741
17 200239
18 201539
19 200037
20 200936

About Daniel J. Jagger

Daniel J. Jagger is a scholar working on Sensory Systems, Endocrine and Autonomic Systems, Molecular Biology, Neurology and Physiology, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (42 papers), Connexins and lens biology (13 papers), Neuroscience of respiration and sleep (10 papers), Hearing Loss and Rehabilitation (9 papers), Ion channel regulation and function (7 papers), Ion Channels and Receptors (7 papers), Vestibular and auditory disorders (6 papers) and Genetic and Kidney Cyst Diseases (6 papers). The work is most often cited by research in Sensory Systems (1.1k citations), Endocrine and Autonomic Systems (266 citations), Physiology (149 citations), Neurology (235 citations) and Genetics (578 citations). Daniel J. Jagger has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Andrew Forge, Gary D. Housley, Jonathan Felix Ashmore, John Joseph Kelly, Ruth Taylor, Matthew C. Holley, Marcelo N. Rivolta, Denise Greenwood, Nicholas P. Raybould and Graham Nevill. Their work appears in journals such as The Journal of Physiology, Journal of Neuroscience, Hearing Research, Journal of the Association for Research in Otolaryngology and Audiology and Neurotology.

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.

Explore authors with similar magnitude of impact