Amit Meir

3.6k citations
21 papers · 1.3k indexed · 1 hit paper · h-index 13

Amit Meir

21 papers receiving 1.3k citations

Hit Papers

Secretion systems in Gram-negative bacteria: structural a...20152026201820222015250500750

Peers

Amit Meir
Comparison fields: 5 of 110
  • Molecular Biology 466
  • Endocrinology 359
  • Infectious Diseases 293
  • Genetics 256
  • Immunology 189
Replace Sean D. Colloms with:
Sean D. Colloms United Kingdom
Suat L. G. Cirillo United States
Yu Luo Canada
Roman G. Gerlach Germany
Andrew H. Gaspar United States
Christian Andersen Germany
T. Kirn United States
Matthew B. Neiditch United States
Gérémy Clair United States
Tomoaki Ogino United States
Amit Meir relative to Sean D. Colloms United Kingdom Sean D. Colloms's profile →
Citations per field
00.5×6.0×
Sean D. Colloms · 1×
Citations per year

Countries citing papers authored by Amit Meir

Since Specialization
Citations

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

Fields of papers citing papers by Amit Meir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Meir

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 14
4 8
5 7
6 42
7 270
8 14
9 31
10 16
11
Secretion systems in Gram-negative bacteria: structural and mechanistic insightsbreakdown →
780
12 16
13 21
14 4
15 41
16
Currents and channels in the presynaptic nerve terminal.
3
17 7
18 15
19 22
20 16

About Amit Meir

Amit Meir is a scholar working on Endocrinology, Molecular Medicine and Discrete Mathematics and Combinatorics, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (5 papers), Biotin and Related Studies (5 papers) and Legionella and Acanthamoeba research (5 papers). The work is most often cited by research in Endocrinology (359 citations), Molecular Medicine (153 citations) and Infectious Diseases (293 citations). Amit Meir has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Gabriel Waksman, Adam Redzej, Catarina Felisberto‐Rodrigues, Tiago R. D. Costa, Martina Trokter, Marie S. Prevost, Feimei Liu, Aaron M. Ring, Mia Madel Alfajaro and Benjamin Israelow. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

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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