Hannah Haberkern

767 total citations · 1 hit paper
9 papers, 337 citations indexed

About

Hannah Haberkern is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Cognitive Neuroscience. According to data from OpenAlex, Hannah Haberkern has authored 9 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 3 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Cognitive Neuroscience. Recurrent topics in Hannah Haberkern's work include Neurobiology and Insect Physiology Research (6 papers), Animal Behavior and Reproduction (3 papers) and Memory and Neural Mechanisms (2 papers). Hannah Haberkern is often cited by papers focused on Neurobiology and Insect Physiology Research (6 papers), Animal Behavior and Reproduction (3 papers) and Memory and Neural Mechanisms (2 papers). Hannah Haberkern collaborates with scholars based in United States, Germany and United Kingdom. Hannah Haberkern's co-authors include Vivek Jayaraman, Chuntao Dan, Marcella Noorman, Gerald M. Rubin, Daniel B. Turner‐Evans, Tanya Wolff, Brad K. Hulse, Ann M. Hermundstad, Ruchi Parekh and Marisa Dreher and has published in prestigious journals such as Trends in Neurosciences, Current Biology and Current Opinion in Neurobiology.

In The Last Decade

Hannah Haberkern

8 papers receiving 336 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection

2021 197 citations Brad K. Hulse, Hannah Haberkern et al. eLife profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hannah Haberkern United States	7	238	127	81	70	46	9	337
Gus K. Lott United States	4	267 1.1×	111 0.9×	101 1.2×	68 1.0×	46 1.0×	6	351
Cheng Lyu United States	8	248 1.0×	130 1.0×	94 1.2×	87 1.2×	98 2.1×	13	422
Mai M Morimoto United Kingdom	5	223 0.9×	100 0.8×	96 1.2×	58 0.8×	50 1.1×	7	259
Avinash Khandelwal United States	4	227 1.0×	113 0.9×	68 0.8×	75 1.1×	41 0.9×	4	348
Markus Mronz Germany	4	311 1.3×	140 1.1×	146 1.8×	70 1.0×	53 1.2×	5	391
Yanqiong Zhou China	7	229 1.0×	88 0.7×	76 0.9×	57 0.8×	89 1.9×	8	321
Claire McKellar United States	10	260 1.1×	119 0.9×	99 1.2×	52 0.7×	92 2.0×	11	383
Shiuan‐Tze Wu United States	6	247 1.0×	113 0.9×	86 1.1×	46 0.7×	59 1.3×	8	288
Kit D. Longden United Kingdom	10	236 1.0×	110 0.9×	128 1.6×	142 2.0×	65 1.4×	17	382
Benjamin R. Kallman United States	5	357 1.5×	99 0.8×	92 1.1×	78 1.1×	56 1.2×	5	433

Countries citing papers authored by Hannah Haberkern

Since Specialization

Citations

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

Fields of papers citing papers by Hannah Haberkern

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah Haberkern

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

All Works

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9 of 9 papers shown

Grima, Laura L., et al.. (2025). Foraging as an ethological framework for neuroscience. Trends in Neurosciences. 48(11). 877–890.

Haberkern, Hannah, et al.. (2022). Behavioral state-dependent modulation of insulin-producing cells in Drosophila. Current Biology. 33(3). 449–463.e5. 13 indexed citations

Hulse, Brad K., Hannah Haberkern, Romain Franconville, et al.. (2021). A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection. eLife. 10. 197 indexed citations breakdown →

Haberkern, Hannah, Biafra Ahanonu, David Schauder, et al.. (2019). Visually Guided Behavior and Optogenetically Induced Learning in Head-Fixed Flies Exploring a Virtual Landscape. Current Biology. 29(10). 1647–1659.e8. 39 indexed citations

Haberkern, Hannah & Vivek Jayaraman. (2016). Studying small brains to understand the building blocks of cognition. Current Opinion in Neurobiology. 37. 59–65. 27 indexed citations

Haberkern, Hannah & Berthold Hedwig. (2016). Behavioural integration of auditory and antennal stimulation during phonotaxis in the field cricketGryllus bimaculatus(DeGeer). Journal of Experimental Biology. 219(Pt 22). 3575–3586. 6 indexed citations

Milde, Florian, Gerardo Tauriello, Hannah Haberkern, & Petros Koumoutsakos. (2014). SEM++: A particle model of cellular growth, signaling and migration. Computational Particle Mechanics. 1(2). 211–227. 23 indexed citations

Wang, Dongqi, Zrinka Gattin, Hannah Haberkern, et al.. (2012). Validation of the GROMOS 54A7 Force Field Regarding Mixed α/β‐Peptide Molecules. Helvetica Chimica Acta. 95(12). 2562–2577. 12 indexed citations

Eschbach, Claire, et al.. (2011). Associative learning between odorants and mechanosensory punishment in larval Drosophila. Journal of Experimental Biology. 214(23). 3897–3905. 20 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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