E Fleissner

1.5k citations
33 papers · 1.4k indexed · 1 hit paper · h-index 18

E Fleissner

31 papers receiving 1.1k citations

Hit Papers

Standardized and simplified nomenclature for proteins com...292198820262000201350100150200250

Peers

E Fleissner
Comparison fields: 5 of 72
  • Virology 385
  • Immunology 405
  • Genetics 471
  • Infectious Diseases 236
  • Radiology, Nuclear Medicine and Imaging 220
Replace Marilyn R. Lander with:
Marilyn R. Lander United States
M W Cloyd United States
M B Mathews United States
A M Schultz United States
S G Devare United States
J W Hartley United States
A. Declève United States
J M Heard France
Munchen Eiden United States
A Hampe France
E Fleissner relative to Marilyn R. Lander United States Marilyn R. Lander's profile →
Citations per field
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Marilyn R. Lander · 1×
Citations per year

Countries citing papers authored by E Fleissner

Since Specialization
Citations

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

Fields of papers citing papers by E Fleissner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20150
2 20150
3
Constitutive c-myc expression enhances the response of murine mast cells to IL-3, but does not eliminate their requirement for growth factors.
198813
4 198888
5
Spontaneous or carcinogen-mediated amplification of a mutated ras gene promotes neoplastic transformation.
19883
6
Standardized and simplified nomenclature for proteins common to all retrovirusesbreakdown →
1988292
7 198710
8 198715
9 198688
10 198315
11 198010
12 198014
13 198015
14 198018
15 197820
16 197735
17 197628
18 19763
19 1975130
20 197532

About E Fleissner

E Fleissner is a scholar working on Virology, Immunology and Genetics, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), HIV Research and Treatment (8 papers), Hepatitis B Virus Studies (7 papers), Viral gastroenteritis research and epidemiology (5 papers), T-cell and Retrovirus Studies (5 papers), RNA Interference and Gene Delivery (5 papers), Immune Cell Function and Interaction (4 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Virology (385 citations), Immunology (405 citations) and Genetics (471 citations). E Fleissner has collaborated with scholars based in United States. Frequent co-authors include J S Tung, Edward A. Boyse, Abraham Pinter, E S Vitetta, Vincenzo Sorrentino, Dorothy L. Buchhagen, Harry W. Snyder, J. Michael Bishop, Harriet L. Robinson and Stephen P. Goff. Their work appears in journals such as Journal of Virology, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, Cold Spring Harbor Symposia on Quantitative Biology and JNCI Journal of the National Cancer Institute.

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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