Richard Eckner

7.5k citations
30 papers · 6.3k indexed · 3 hit papers · h-index 26

Richard Eckner

30 papers receiving 6.2k citations

Hit Papers

Gene Dosage–Dependent Embryonic Development and Prolifera...8151994202620042015250500750

Peers

Richard Eckner
Comparison fields: 5 of 111
  • Cancer Research 1.2k
  • Molecular Biology 4.8k
  • Oncology 1.7k
  • Genetics 1.7k
  • Immunology 880
Replace Pedro A. Lazo with:
Pedro A. Lazo Spain
Cynthia Helms United States
James Hagman United States
Mark E. Ewen United States
Peter C. Scacheri United States
Tarik Möröy Germany
Doron Ginsberg Israel
Anthony N. Imbalzano United States
Juan Méndez Spain
Hans van Dam Netherlands
Richard Eckner relative to Pedro A. Lazo Spain Pedro A. Lazo's profile →
Citations per field
00.5×2.7×
Pedro A. Lazo · 1×
Citations per year

Countries citing papers authored by Richard Eckner

Since Specialization
Citations

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

Fields of papers citing papers by Richard Eckner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20207
2 201828
3 201640
4 201417
5 201354
6 200941
7 200528
8 200079
9 1998273
10 199877
11
Gene Dosage–Dependent Embryonic Development and Proliferation Defects in Mice Lacking the Transcriptional Integrator p300breakdown →
1998815
12 1996429
13 1996213
14 1995487
15 1995278
16 1995294
17 199434
18 199212
19 198959
20 198670

About Richard Eckner

Richard Eckner is a scholar working on Developmental Biology, Genetics and Molecular Biology, having authored 30 papers that have together received 6.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), Cancer-related Molecular Pathways (6 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers), Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (4 papers), Genomics and Chromatin Dynamics (3 papers) and Congenital limb and hand anomalies (2 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (4.8k citations) and Oncology (1.7k citations). Richard Eckner has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include David M. Livingston, David Newsome, Zoltàn Arany, James A. DeCaprio, Shoumo Bhattacharya, Mark E. Ewen, Jeanne B. Lawrence, Michael Gerdes, Tso‐Pang Yao and Max L. Birnstiel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development, Nature, The EMBO Journal 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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