Daniel Amram

1.4k citations
9 papers · 421 · h-index 6

Impact in

Papers in

    • RNA and protein synthesis mechanisms 2
    • Chromatin Remodeling and Cancer 1
    • Protein Tyrosine Phosphatases 1
    • Nerve Injury and Rehabilitation 1

Daniel Amram

9 papers receiving 416 citations

Peers

Daniel Amram
Comparison fields: 5 of 51
  • Pathology and Forensic Medicine 176
  • Molecular Biology 340
  • Sensory Systems 20
  • Neurology 60
  • Genetics 28
Replace A. David with:
A. David France
Cecilie F. Rustad Norway
Nina Bögershausen Germany
Oscar F. Chacón‐Camacho Mexico
Teresa Neuhann Germany
Deborah Morrogh United Kingdom
Karen J. Harrison Canada
Stefanie Lemmens Belgium
Reema L. Habiby United States
SJ Greenberg United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Amram

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Amram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1999312
2 201735
3 200823
4 200621
5 199017
6 19996
7 20105
8 20221
9
[Pneumococcal pneumonia and septic shock in the newborn infant].
19881

About Daniel Amram

Daniel Amram is a scholar working on Molecular Biology, Surgery, Pathology and Forensic Medicine, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 421 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (2 papers), Methemoglobinemia and Tumor Lysis Syndrome (1 paper), MicroRNA in disease regulation (1 paper), Neuroscience of respiration and sleep (1 paper), Nerve Injury and Rehabilitation (1 paper), Hearing Loss and Rehabilitation (1 paper), Chromatin Remodeling and Cancer (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (176 citations), Molecular Biology (340 citations), Sensory Systems (20 citations), Neurology (60 citations) and Genetics (28 citations). Daniel Amram has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Pascale Schneider, Nicolas Sévenet, Rupert Handgretinger, Olivier Delattre, Dominique Hillaire‐Buys, Jean‐Luc Faillie, Rémy Pujol, Jean‐Luc Puel, Matthieu J. Guitton and Alain Uziel. Their work appears in journals such as The American Journal of Human Genetics, Journal of Inherited Metabolic Disease, European Journal of Human Genetics, Pediatric Research and Brain.

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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