Mark S. Ladinsky

7.5k citations
69 papers · 4.9k indexed · 5 hit papers · h-index 32

Mark S. Ladinsky

66 papers receiving 4.9k citations

Hit Papers

Microbiota...2081999202620082017100200300400500

Peers

Mark S. Ladinsky
Comparison fields: 5 of 150
  • Structural Biology 281
  • Cell Biology 1.3k
  • Biological Psychiatry 169
  • Biophysics 256
  • Molecular Biology 3.1k
Replace Maura Francolini with:
Maura Francolini Italy
Jack Fransen Netherlands
Paul K. Nakane Japan
Thomas Wileman United Kingdom
Elizabeth A. Campbell United States
Xing Zhang China
Roland Hartig Germany
Shunsuke Kimura Japan
Martin Sachse France
Ho Min Kim South Korea
Mark S. Ladinsky relative to Maura Francolini Italy Maura Francolini's profile →
Citations per field
00.5×6.7×
Maura Francolini · 1×
Citations per year

Countries citing papers authored by Mark S. Ladinsky

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Ladinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Ladinsky. 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 Mark S. Ladinsky. The network helps show where Mark S. Ladinsky may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20243
3 202416
4 202117
5 202110
6
COVID-19 outcome: Insights from quantification of viremia and neutralizing antibody
20210
7 202117
8
A gut bacterial amyloid promotes α-synuclein aggregation and motor impairment in micebreakdown →
2020309
9 2019132
10 201828
11
Gut microbiota utilize immunoglobulin A for mucosal colonizationbreakdown →
2018452
12 2017137
13 2015196
14 201190
15 20108
16 201018
17 2009163
18 2008134
19 200637
20 200299

About Mark S. Ladinsky

Mark S. Ladinsky is a scholar working on Structural Biology, Virology, Cell Biology, Biochemistry and Physiology, having authored 69 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cellular transport and secretion (10 papers), Advanced Electron Microscopy Techniques and Applications (9 papers), Photosynthetic Processes and Mechanisms (9 papers), Lipid Membrane Structure and Behavior (8 papers), HIV Research and Treatment (6 papers), Lipid metabolism and biosynthesis (6 papers), Cytomegalovirus and herpesvirus research (6 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Structural Biology (281 citations), Cell Biology (1.3k citations), Biological Psychiatry (169 citations), Biophysics (256 citations) and Molecular Biology (3.1k citations). Mark S. Ladinsky has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kathryn E. Howell, J. Richard McIntosh, Pamela J. Björkman, David N. Mastronarde, L. Andrew Staehelin, Grant J. Jensen, Lei Lü, Tomas Kirchhausen, Karla Kirkegaard and Andreas Schlegel. Their work appears in journals such as eLife, Science, Traffic, Microscopy and Microanalysis and Molecular Biology of the 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.

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