Ido Bachelet

4.8k citations
59 papers · 3.6k indexed · 1 hit paper · h-index 22

Impact in

Papers in

Ido Bachelet

56 papers receiving 3.5k citations

Hit Papers

A Logic-Gated Nanorobot for Targeted Transport of Molecular Payloads 2012 · 1.7k citations
1.7k201220262016202150010001.5k

Peers

Ido Bachelet
Comparison fields: 5 of 146
  • Immunology and Allergy 285
  • Immunology 800
  • Molecular Biology 2.3k
  • Biomedical Engineering 741
  • Physiology 395
Replace Theresia E. B. Stradal with:
Theresia E. B. Stradal Germany
Frank Lafont France
Joseph W. Sanger United States
Marcelo Ehrlich Israel
Charles Ferguson Australia
Jens Harborth Germany
Yeongjin Hong South Korea
Devin Leake United States
Sergei V. Strelkov Belgium
Ido Bachelet relative to Theresia E. B. Stradal Germany Theresia E. B. Stradal's profile →
Citations per field
00.5×1.5×
Theresia E. B. Stradal · 1×
Citations per year

Countries citing papers authored by Ido Bachelet

Since Specialization
Citations

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

Fields of papers citing papers by Ido Bachelet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20239
2 202327
3 20192
4 201912
5 20194
6 20175
7 201721
8 201633
9
Rule-based programming of molecular robot swarms for biomedical applications
20163
10 20157
11
A Logic-Gated Nanorobot for Targeted Transport of Molecular Payloads
Hit paper breakdown →
20121719
12 2009123
13 200851
14 200735
15 200713
16 200653
17 200680
18 200592
19 2005129
20 2003133

About Ido Bachelet

Ido Bachelet is a scholar working on Immunology and Allergy, Immunology, Physiology, Developmental Biology and Modeling and Simulation, having authored 59 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (18 papers), Mast cells and histamine (14 papers), Asthma and respiratory diseases (14 papers), RNA Interference and Gene Delivery (10 papers), Immune Cell Function and Interaction (8 papers), Bacteriophages and microbial interactions (6 papers), Modular Robots and Swarm Intelligence (4 papers) and Food Allergy and Anaphylaxis Research (4 papers). The work is most often cited by research in Immunology and Allergy (285 citations), Immunology (800 citations), Molecular Biology (2.3k citations), Biomedical Engineering (741 citations) and Physiology (395 citations). Ido Bachelet has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include George M. Church, Shawn M. Douglas, Francesca Levi‐Schaffer, Ariel Munitz, Almogit Abu-Horowitz, Yaniv Amir, Daniel Levner, Shmulik Ittah, Lorenzo Moretta and Ilaria Puxeddu. Their work appears in journals such as Scientific Reports, Journal of Allergy and Clinical Immunology, The Journal of Immunology, Journal of Visualized Experiments and Artificial Life.

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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