David J. Ecker

12.8k citations
148 papers · 9.5k indexed · 1 hit paper · h-index 54

David J. Ecker

148 papers receiving 9.1k citations

Hit Papers

A Multiubiquitin Chain Is Confined to Specific Lysine in ...1.2k19892026200120134008001.2k

Peers

David J. Ecker
Comparison fields: 5 of 155
  • Molecular Medicine 849
  • Clinical Biochemistry 806
  • Parasitology 628
  • Endocrinology 432
  • Molecular Biology 5.4k
Replace Ingo B. Autenrieth with:
Ingo B. Autenrieth Germany
Brad T. Cookson United States
Trevor Lithgow Australia
Elaine Tuomanen United States
Robert K. Ernst United States
Gerald L. Mandell United States
Bradley E. Britigan United States
Claire Poyart France
Dirk Bumann Switzerland
Yigang Tong China
David J. Ecker relative to Ingo B. Autenrieth Germany Ingo B. Autenrieth's profile →
Citations per field
00.5×1.5×
Ingo B. Autenrieth · 1×
Citations per year

Countries citing papers authored by David J. Ecker

Since Specialization
Citations

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

Fields of papers citing papers by David J. Ecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Ecker. 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 David J. Ecker. The network helps show where David J. Ecker may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 201624
3 20145
4 201310
5 201228
6 201128
7 2010156
8 201019
9 200783
10
Investments in high-payoff technologies could reduce toll of infections
20056
11 2004226
12 200414
13 2001184
14 199563
15 199518
16 199474
17 19942
18 1993181
19 199212
20 19898

About David J. Ecker

David J. Ecker is a scholar working on Clinical Biochemistry, Parasitology, Infectious Diseases, Molecular Medicine and Virology, having authored 148 papers that have together received 9.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (21 papers), Bacterial Identification and Susceptibility Testing (19 papers), Vector-borne infectious diseases (16 papers), Viral Infections and Vectors (14 papers), Ubiquitin and proteasome pathways (13 papers), DNA and Nucleic Acid Chemistry (11 papers), Antibiotic Resistance in Bacteria (10 papers) and Advanced biosensing and bioanalysis techniques (9 papers). The work is most often cited by research in Molecular Medicine (849 citations), Clinical Biochemistry (806 citations), Parasitology (628 citations), Endocrinology (432 citations) and Molecular Biology (5.4k citations). David J. Ecker has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Stanley T. Crooke, Rangarajan Sampath, Vincent Chau, Brett P. Monia, Lawrence B. Blyn, Alexander Varshavsky, Andreas Bachmair, John W. Tobias, David Marriott and David K. Gonda. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Biological Chemistry, PLoS ONE, Journal of Medicinal Chemistry and Nucleic Acids Research.

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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