Daniel F. Eberl

66 papers receiving 2.7k citations

Peers

Daniel F. Eberl
Comparison fields: 5 of 98
  • Sensory Systems 468
  • Cellular and Molecular Neuroscience 1.4k
  • Aging 90
  • Developmental Biology 76
  • Ecology, Evolution, Behavior and Systematics 666
Replace Maurice J. Kernan with:
Maurice J. Kernan United States
Nicolas Gompel Germany
Azusa Kamikouchi Japan
Arnim Jenett France
Leslie P. Tolbert United States
Carolin Wichmann Germany
Oliver Hendrich Germany
Derek Lessing United States
David L. Deitcher United States
George Boyan Germany
Daniel F. Eberl relative to Maurice J. Kernan United States Maurice J. Kernan's profile →
Citations per field
00.5×1.5×2.4×
Maurice J. Kernan · 1×
Citations per year

Countries citing papers authored by Daniel F. Eberl

Since Specialization
Citations

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

Fields of papers citing papers by Daniel F. Eberl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel F. Eberl, 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 F. Eberl Line = papers co-authored together Daniel F. Eberl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000229
2 2003142
3 2009128
4 1997122
5 2003118
6 2002112
7 1993108
8 1999102
9 200596
10 200486
11 200885
12 200579
13 200277
14 200377
15 201075
16 199574
17 201673
18 200749
19 201548
20 201547

About Daniel F. Eberl

Daniel F. Eberl is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Genetics and Sensory Systems, having authored 68 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (32 papers), Hearing, Cochlea, Tinnitus, Genetics (14 papers), Animal Behavior and Reproduction (13 papers), Developmental Biology and Gene Regulation (12 papers), Plant Molecular Biology Research (9 papers), Insect and Arachnid Ecology and Behavior (6 papers), Genetic and Kidney Cyst Diseases (5 papers) and Plant and animal studies (5 papers). The work is most often cited by research in Sensory Systems (468 citations), Cellular and Molecular Neuroscience (1.4k citations), Aging (90 citations), Developmental Biology (76 citations) and Ecology, Evolution, Behavior and Systematics (666 citations). Daniel F. Eberl has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Maurice J. Kernan, Elena Sivan‐Loukianova, Jason C. Caldwell, Sokol V. Todi, Robert W. Hardy, Eran Tauber, Arthur J. Hilliker, Yashoda Sharma, Grace Boekhoff‐Falk and Norbert Perrimon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genetics, Fly, Current Biology and Journal of Neuroscience.

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