E. V. Jensen

3.4k citations
36 papers · 2.2k indexed · 2 hit papers · h-index 18

Impact in

Papers in

E. V. Jensen

36 papers receiving 2.0k citations

Hit Papers

Monoclonal antibodies to human estrogen receptor. 1980 · 431 citations
4311968202619872006250500750

Peers

E. V. Jensen
Comparison fields: 5 of 111
  • Genetics 1.3k
  • Reproductive Medicine 192
  • Endocrinology, Diabetes and Metabolism 319
  • Behavioral Neuroscience 68
  • Oncology 430
Replace P. W. Jungblut with:
P. W. Jungblut Germany
Francesco Bresciani Italy
Ulrich Gehring Germany
Jan-Åke Gustafsson Sweden
Christine Radanyi France
Gérard Redeuilh France
B W O'Malley United States
Keishi Matsumoto Japan
H.M. Westphal Germany
M. T. Bocquel France
E. V. Jensen relative to P. W. Jungblut Germany P. W. Jungblut's profile →
Citations per field
00.5×1.5×2.3×
P. W. Jungblut · 1×
Citations per year

Countries citing papers authored by E. V. Jensen

Since Specialization
Citations

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

Fields of papers citing papers by E. V. Jensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Partial antagonism between steroidal and nonsteroidal antiestrogens in human breast cancer cell lines.
199820
2 199125
3 198414
4
Estrogen receptors, antibodies and hormone dependent cancer.
198420
5 198215
6 19807
7 19799
8 19792
9 197834
10 19762
11 19743
12
Prediction of breast cancer response to endocrine therapy.
197431
13 197125
14 196910
15 19691
16 19671
17 19655
18 196424
19 196333
20 196312

About E. V. Jensen

E. V. Jensen is a scholar working on Pharmaceutical Science, Immunology and Allergy, Genetics, Radiology, Nuclear Medicine and Imaging and Organic Chemistry, having authored 36 papers that have together received 2.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Protein purification and stability (3 papers), Fluorine in Organic Chemistry (3 papers), Chemical Synthesis and Reactions (3 papers), Cell Adhesion Molecules Research (3 papers), Steroid Chemistry and Biochemistry (3 papers) and Carbohydrate Chemistry and Synthesis (2 papers). The work is most often cited by research in Genetics (1.3k citations), Reproductive Medicine (192 citations), Endocrinology, Diabetes and Metabolism (319 citations), Behavioral Neuroscience (68 citations) and Oncology (430 citations). E. V. Jensen has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Eugene R. DeSombre, Geoffrey L. Greene, P. W. Jungblut, T. Kawashima, Tetsuro Suzuki, Walter E. Stumpf, Chris Nolan, George E. Block, S. B. Smith and Frank W. Fitch. Their work appears in journals such as Proceedings of the National Academy of Sciences, Israel Journal of Chemistry, Tetrahedron, Endocrinology 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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