Robert J. Eckner

28 papers receiving 1.9k citations

Robert J. Eckner's Hit Papers

Inhibition of HIV-1 Replication by a Nonnucleoside Reverse Transcriptase Inhibitor 1990 · 679 citations
6790+14+28Years since publication200400600

Peers

Robert J. Eckner
Comparison fields: 5 of 79
  • Virology 668
  • Infectious Diseases 742
  • Hematology 251
  • Immunology 395
  • Genetics 518
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Citations per year

Countries citing papers authored by Robert J. Eckner

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Eckner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inhibition of HIV-1 Replication by a Nonnucleoside Reverse Transcriptase Inhibitor
Hit paper breakdown →
1990679
2
Demonstration of permanent factor-dependent multipotential (erythroid/neutrophil/basophil) hematopoietic progenitor cell lines.
Hit paper breakdown →
1983511
3 1984160
4 1991148
5 1971121
6 197471
7 200255
8 197254
9 197039
10 198034
11 197729
12
Rapid assay of murine leukemia virus helper activity for Friend spleen focus-forming virus.
197127
13 197324
14 197522
15 197421
16 198219
17 198316
18 197916
19 198215
20 198312

About Robert J. Eckner

Robert J. Eckner is a scholar working on Genetics, Infectious Diseases, Animal Science and Zoology, Immunology and Epidemiology, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (19 papers), Animal Virus Infections Studies (8 papers), HIV Research and Treatment (5 papers), Immune Cell Function and Interaction (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Immunotherapy and Immune Responses (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Virology (668 citations), Infectious Diseases (742 citations), Hematology (251 citations), Immunology (395 citations) and Genetics (518 citations). Robert J. Eckner has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Joel S. Greenberger, Mary Ann Sakakeeny, Connie J. Eaves, R. Keith Humphries, Richard A. Steeves, Michael V. L. Bennett, Joseph C. Wu, Julian Adams, Ronald B. Faanes and Karl D. Hargrave. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Virology, JNCI Journal of the National Cancer Institute, Leukemia Research and Science.

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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