Daniel Goldenberg

1.7k citations
39 papers · 1.3k · h-index 21

Impact in

Papers in

    • RNA modifications and cancer 5
    • RNA and protein synthesis mechanisms 3
    • CRISPR and Genetic Engineering 3
    • Bacterial Genetics and Biotechnology 7

Daniel Goldenberg

37 papers receiving 1.3k citations

Peers

Daniel Goldenberg
Comparison fields: 5 of 93
  • Hepatology 175
  • Genetics 278
  • Epidemiology 310
  • Immunology 200
  • Molecular Biology 663
Replace S.-H. Yeh with:
S.-H. Yeh Taiwan
Riku Fagerlund Finland
Hilla Giladi Israel
Stewart Sell United States
Barbara Aufiero United States
Brigitte Quatannens France
Pamela S. Adams United States
Li–Rung Huang Taiwan
Satoko Matsunaga Japan
Alexandra Martins Portugal
Daniel Goldenberg relative to S.-H. Yeh Taiwan S.-H. Yeh's profile →
Citations per field
00.5×2.9×
S.-H. Yeh · 1×
Citations per year

Countries citing papers authored by Daniel Goldenberg

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Goldenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Goldenberg, 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 Goldenberg Line = papers co-authored together Daniel Goldenberg 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 1996190
2 201199
3 201093
4 199887
5 200781
6 200674
7 199767
8 201361
9 200648
10 199343
11 199541
12 202140
13 199735
14 200232
15 201331
16 202030
17 199628
18 201623
19 201723
20 200723

About Daniel Goldenberg

Daniel Goldenberg is a scholar working on Molecular Biology, Genetics, Epidemiology, Immunology and Ecology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), RNA modifications and cancer (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Bacteriophages and microbial interactions (4 papers), Galectins and Cancer Biology (3 papers), Herpesvirus Infections and Treatments (3 papers), RNA and protein synthesis mechanisms (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Hepatology (175 citations), Genetics (278 citations), Epidemiology (310 citations), Immunology (200 citations) and Molecular Biology (663 citations). Daniel Goldenberg has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Amos B. Oppenheim, Eithan Galun, Orit Pappo, Hilla Giladi, Lina Mizrahi, Devorah Olam, Nurith Mador, Amos Panet, Israel Steiner and Mark Katzenellenbogen. Their work appears in journals such as Oncotarget, Hepatology, Molecular Carcinogenesis, PLoS ONE and Proceedings of the National Academy of Sciences.

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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