John A. A. Ladias

2.3k citations
35 papers · 2.0k indexed · h-index 22

John A. A. Ladias

35 papers receiving 2.0k citations

Peers

John A. A. Ladias
Comparison fields: 5 of 81
  • Molecular Biology 1.5k
  • Genetics 594
  • Cellular and Molecular Neuroscience 317
  • Cell Biology 283
  • Endocrinology, Diabetes and Metabolism 222
Replace Daphne L. Davis with:
Daphne L. Davis United States
S K Karathanasis United States
Bryan D. Lemon United States
Helena Dahlbäck Sweden
Beatriz Levy-Wilson United States
Martin Höhne Germany
K S Arnold United States
Masayoshi Yada Japan
S. Wallis United Kingdom
Elizabeth J. Ackermann United States
John A. A. Ladias relative to Daphne L. Davis United States Daphne L. Davis's profile →
Citations per field
00.5×2.6×
Daphne L. Davis · 1×
Citations per year

Countries citing papers authored by John A. A. Ladias

Since Specialization
Citations

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

Fields of papers citing papers by John A. A. Ladias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. A. Ladias. 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 John A. A. Ladias. The network helps show where John A. A. Ladias may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201312
2 201023
3 20096
4 200838
5 200741
6 200622
7 200393
8 200314
9 200181
10 2001108
11 20014
12 199836
13 19986
14 1997126
15 199664
16 199272
17 199131
18 19909
19 199013
20 19885

About John A. A. Ladias

John A. A. Ladias is a scholar working on Molecular Biology, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Ion Transport and Channel Regulation (5 papers), CRISPR and Genetic Engineering (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Genomics and Chromatin Dynamics (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Cholesterol and Lipid Metabolism (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Genetics (594 citations) and Cellular and Molecular Neuroscience (317 citations). John A. A. Ladias has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Sotirios K. Karathanasis, Gabriel Birrane, Christos Cladaras, Margarita Hadzopoulou‐Cladaras, Subramanian Karthikeyan, Philippe Cardot, Dimitris Kardassis, Vassilis I. Zannis, Russell L. Widom and Sofia Kouidou. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and JAMA.

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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