Jonathan D. Dattelbaum

1.4k citations
39 papers · 1.1k · h-index 22

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 9
    • Protein Structure and Dynamics 6
    • Enzyme Structure and Function 10
    • Lanthanide and Transition Metal Complexes 6

Jonathan D. Dattelbaum

38 papers receiving 1.1k citations

Peers

Jonathan D. Dattelbaum
Comparison fields: 5 of 93
  • Bioengineering 131
  • Biophysics 78
  • Electrochemistry 64
  • Molecular Biology 538
  • Materials Chemistry 350
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Maria G. Khrenova Russia
Viruthachalam Thiagarajan India
Eduardo Henrique Silva Sousa Brazil
Erik Sedlák Slovakia
Philip D. Morse United States
Galyna Gorbenko Ukraine
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Yiu‐Fai Lam United States
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan D. Dattelbaum

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Dattelbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan D. Dattelbaum. 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 Jonathan D. Dattelbaum. The network helps show where Jonathan D. Dattelbaum may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999153
2 199879
3 200164
4 199854
5 199950
6 200148
7 200045
8 201339
9 200938
10 199736
11 201434
12 201433
13 200533
14 200331
15 200730
16 201430
17 200729
18 200128
19 201627
20 200926

About Jonathan D. Dattelbaum

Jonathan D. Dattelbaum is a scholar working on Molecular Biology, Materials Chemistry, Oncology, Electrical and Electronic Engineering and Bioengineering, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (10 papers), Advanced biosensing and bioanalysis techniques (9 papers), Electrochemical sensors and biosensors (7 papers), Lanthanide and Transition Metal Complexes (6 papers), Protein Structure and Dynamics (6 papers), Analytical Chemistry and Sensors (6 papers), Metal complexes synthesis and properties (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Bioengineering (131 citations), Biophysics (78 citations), Electrochemistry (64 citations), Molecular Biology (538 citations) and Materials Chemistry (350 citations). Jonathan D. Dattelbaum has collaborated with scholars based in United States, Italy and New Zealand. Frequent co-authors include Joseph R. Lakowicz, Felix N. Castellano, Ignacy Gryczyński, Leah Tolosa, Govind Rao, Bryan S. Der, Sabato D’Auria, Ignacy Gryczynski, Michael C. Leopold and Zygmunt Gryczyński. Their work appears in journals such as Analytical Biochemistry, Protein Science, Bioconjugate Chemistry, Journal of Fluorescence and Molecular BioSystems.

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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