Hadas Lapid

988 total citations
9 papers, 731 citations indexed

About

Hadas Lapid is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Hadas Lapid has authored 9 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sensory Systems, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Biomedical Engineering. Recurrent topics in Hadas Lapid's work include Olfactory and Sensory Function Studies (7 papers), Neurobiology and Insect Physiology Research (5 papers) and Advanced Chemical Sensor Technologies (5 papers). Hadas Lapid is often cited by papers focused on Olfactory and Sensory Function Studies (7 papers), Neurobiology and Insect Physiology Research (5 papers) and Advanced Chemical Sensor Technologies (5 papers). Hadas Lapid collaborates with scholars based in Israel and United States. Hadas Lapid's co-authors include Noam Sobel, Noam Agmon, Matt K. Petersen, Gregory A. Voth, Rafi Haddad, Rehan M Khan, Amit Aggarwal, Chung-Hay Luk, Adeen Flinker and Thomas Hummel and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Hadas Lapid

9 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hadas Lapid Israel 8 448 299 212 159 153 9 731
Thomas P. Hettinger United States 23 779 1.7× 459 1.5× 881 4.2× 289 1.8× 51 0.3× 46 1.4k
Kishani M. Ranatunga United Kingdom 11 207 0.5× 117 0.4× 41 0.2× 259 1.6× 36 0.2× 15 771
Andrew R. Battle Australia 19 42 0.1× 99 0.3× 28 0.1× 149 0.9× 49 0.3× 54 1.2k
Caroline Bushdid United States 6 460 1.0× 317 1.1× 244 1.2× 156 1.0× 6 0.0× 7 690
Andreas Mershin United States 13 58 0.1× 204 0.7× 17 0.1× 242 1.5× 116 0.8× 26 964
Anat Kahan Israel 10 71 0.2× 17 0.1× 47 0.2× 171 1.1× 99 0.6× 16 306
Whitney C. Duim United States 10 17 0.0× 269 0.9× 134 0.6× 616 3.9× 109 0.7× 12 1.7k
Jérôme Flakowski Switzerland 7 19 0.0× 49 0.2× 47 0.2× 231 1.5× 37 0.2× 8 824
Martin Zapotocky Czechia 12 215 0.5× 49 0.2× 176 0.8× 310 1.9× 122 0.8× 28 842
Martin Sumser Germany 13 216 0.5× 130 0.4× 61 0.3× 605 3.8× 26 0.2× 17 1.2k

Countries citing papers authored by Hadas Lapid

Since Specialization
Citations

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

Fields of papers citing papers by Hadas Lapid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hadas Lapid

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

All Works

9 of 9 papers shown
1.
Marron, Assaf, Michal Gordon, Guy Katz, et al.. (2016). Six (Im)possible Things before Breakfast: Building-Blocks and Design-Principles for Wise Computing.. 94–100. 1 indexed citations
2.
Lapid, Hadas & Thomas Hummel. (2012). Recording Odor-Evoked Response Potentials at the Human Olfactory Epithelium. Chemical Senses. 38(1). 3–17. 41 indexed citations
3.
Lapid, Hadas, Sagit Shushan, Anton Plotkin, et al.. (2011). Neural activity at the human olfactory epithelium reflects olfactory perception. Nature Neuroscience. 14(11). 1455–1461. 72 indexed citations
4.
Lapid, Hadas, Han‐Seok Seo, Benno Schuster, et al.. (2009). Odorant Concentration Dependence in Electroolfactograms Recorded From the Human Olfactory Epithelium. Journal of Neurophysiology. 102(4). 2121–2130. 15 indexed citations
5.
Yeshurun, Yaara, Hadas Lapid, Yadin Dudai, & Noam Sobel. (2009). The Privileged Brain Representation of First Olfactory Associations. Current Biology. 19(21). 1869–1874. 40 indexed citations
6.
Haddad, Rafi, Hadas Lapid, David Harel, & Noam Sobel. (2008). Measuring smells. Current Opinion in Neurobiology. 18(4). 438–444. 39 indexed citations
7.
Lapid, Hadas, David Harel, & Noam Sobel. (2008). Prediction Models for the Pleasantness of Binary Mixtures in Olfaction. Chemical Senses. 33(7). 599–609. 17 indexed citations
8.
Khan, Rehan M, Chung-Hay Luk, Adeen Flinker, et al.. (2007). Predicting Odor Pleasantness from Odorant Structure: Pleasantness as a Reflection of the Physical World. Journal of Neuroscience. 27(37). 10015–10023. 282 indexed citations
9.
Lapid, Hadas, Noam Agmon, Matt K. Petersen, & Gregory A. Voth. (2004). A bond-order analysis of the mechanism for hydrated proton mobility in liquid water. The Journal of Chemical Physics. 122(1). 14506–14506. 224 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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