Daniel Elbaum

1.1k citations
21 papers · 754 indexed · h-index 11

Impact in

  • Neurology top 5%
    • Vagus Nerve Stimulation Research
    • Nicotinic Acetylcholine Receptors Study
    • Receptor Mechanisms and Signaling
    • Chemical Synthesis and Analysis
    • Enzyme function and inhibition

Papers in

Daniel Elbaum

21 papers receiving 717 citations

Peers

Daniel Elbaum
Comparison fields: 5 of 91
  • Neurology 186
  • Molecular Biology 441
  • Biochemistry 46
  • Clinical Biochemistry 41
  • Organic Chemistry 172
Replace Katharina Mertsch with:
Katharina Mertsch Germany
Zoltán Berente Hungary
Mónika Vastag Hungary
F. García United States
Lorraine Morlock United States
Jinhai Gao United States
Petri J. Vainío Finland
Dahabada H. J. Lopes United States
Aphrodite Caragounis Australia
Andrea Magrì Italy
Daniel Elbaum relative to Katharina Mertsch Germany Katharina Mertsch's profile →
Citations per field
00.5×1.5×2.5×
Katharina Mertsch · 1×
Citations per year

Countries citing papers authored by Daniel Elbaum

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Elbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008221
2 1999147
3 1997117
4 199657
5 201538
6 199431
7 201428
8 199624
9 199523
10 201821
11 201810
12 20217
13 20077
14 19946
15 20206
16 20163
17 19963
18 19992
19 20231
20 20241

About Daniel Elbaum

Daniel Elbaum is a scholar working on Neurology, Clinical Biochemistry, Organic Chemistry, Developmental Neuroscience and Molecular Biology, having authored 21 papers that have together received 754 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Neurological diseases and metabolism (4 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Electrochemical sensors and biosensors (3 papers), Porphyrin Metabolism and Disorders (3 papers), Metabolism and Genetic Disorders (2 papers), Synthesis and biological activity (2 papers) and Synthesis and Biological Evaluation (2 papers). The work is most often cited by research in Neurology (186 citations), Molecular Biology (441 citations), Biochemistry (46 citations), Clinical Biochemistry (41 citations) and Organic Chemistry (172 citations). Daniel Elbaum has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Leticia M. Toledo, NICHOLAS B. LYDON, David W. Christianson, Margriet J. Vervoordeldonk, Marjolein A. van Maanen, Gregory J. LaRosa, Paul P. Tak, Tom van der Poll, Maria C. Lebre and Satish K. Nair. Their work appears in journals such as Journal of the American Chemical Society, PLoS ONE, Tetrahedron, Bioorganic & Medicinal Chemistry Letters and Journal of Medicinal Chemistry.

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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