Andrew M. Leidal

3.5k citations
25 papers · 2.4k indexed · 2 hit papers · h-index 17
Topics
Autophagy in Disease and Therapy (13 papers)Extracellular vesicles in disease (7 papers)Cellular transport and secretion (4 papers)
Partner nations
United StatesCanadaChile

In The Last Decade

Andrew M. Leidal

25 papers receiving 2.4k citations

Hit Papers

The LC3-conjugation machinery specifies the loading of RN...201820262020202320202018100200300

Peers

Andrew M. Leidal
Comparison fields: 5 of 105
  • Molecular Biology 1.5k
  • Epidemiology 941
  • Cancer Research 576
  • Oncology 419
  • Cell Biology 343
Replace Johanna M. S. Lemons with:
Johanna M. S. Lemons United States
Sze Ham Chan United States
Matteo Bordi Italy
Shu‐Yong Lin China
Suchithra Menon United States
Diane Crighton United Kingdom
Myriam Boukhali United States
Tom G. Keulers Netherlands
Valentina Cianfanelli Italy
Maria Perander Norway
Andrew M. Leidal relative to Johanna M. S. Lemons United States Johanna M. S. Lemons's profile →
Citations per field
00.5×
Johanna M. S. Lemons · 1×
Citations per year

Countries citing papers authored by Andrew M. Leidal

Since Specialization
Citations

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

Fields of papers citing papers by Andrew M. Leidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew M. Leidal. 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 Andrew M. Leidal. The network helps show where Andrew M. Leidal may publish in the future.

Co-authorship network of co-authors of Andrew M. Leidal

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew M. Leidal. A scholar is included among the top collaborators of Andrew M. Leidal 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 Andrew M. Leidal. Andrew M. Leidal 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 2
2 2
3 100
4 6
5 87
6 89
7 12
8
The LC3-conjugation machinery specifies the loading of RNA-binding proteins into extracellular vesiclesbreakdown →
349
9 51
10
Autophagy and the cell biology of age-related diseasebreakdown →
332
11 117
12 130
13 16
14 224
15 4
16 13
17 65
18 26
19 20
20 208

About Andrew M. Leidal

Andrew M. Leidal is a scholar working on Cell Biology, Epidemiology and Biotechnology, having authored 25 papers that have together received 2.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (13 papers), Extracellular vesicles in disease (7 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Cancer Research (576 citations), Physiology (151 citations) and Aging (51 citations). Andrew M. Leidal has collaborated with scholars based in United States, Canada and Chile. Frequent co-authors include Jayanta Debnath, Beth Levine, Patrick W.K. Lee, Craig A. Smibert, Candia M. Kenific, Jordan Ye, Rebecca Lock, Eduardo Salas, Timothy Marsh and Richard Hill. Their work appears in journals such as The Journal of Cell Biology, The EMBO Journal and Molecular Cell.

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

Rankless by CCL
2026