E. Spitzer

26 papers receiving 917 citations

Peers

E. Spitzer
Comparison fields: 5 of 79
  • Oncology 422
  • Hepatology 115
  • Immunology and Allergy 49
  • Molecular Biology 511
  • Cancer Research 100
Replace L. M. Ellis with:
L. M. Ellis United States
Tracey Rowlands United States
Rosemary Armour United States
Yuji Yaginuma Japan
Ivan T. Oliver Australia
J. Mark Hexham United States
Shuji Kanayama Japan
Shinya Koyama Japan
Cynthia Kosinski United States
Jean‐Michel Gauthier France
E. Spitzer relative to L. M. Ellis United States L. M. Ellis's profile →
Citations per field
00.5×1.5×1.8×
L. M. Ellis · 1×
Citations per year

Countries citing papers authored by E. Spitzer

Since Specialization
Citations

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

Fields of papers citing papers by E. Spitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995281
2 1998119
3 1994102
4 199563
5 198057
6 199248
7 199244
8 198743
9 199425
10 199321
11 199520
12
EGF receptors on plasma membranes purified from bovine mammary gland of lactating and pregnant animals.
198720
13 198819
14 200017
15 199516
16 199513
17 199412
18 198310
19
Local control of mammary gland differentiation: mammary-derived growth inhibitor and pleiotrophin.
19987
20 19896

About E. Spitzer

E. Spitzer is a scholar working on Molecular Biology, Oncology, Genetics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 26 papers that have together received 962 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (5 papers), Animal Genetics and Reproduction (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Neuroblastoma Research and Treatments (3 papers), Cancer Cells and Metastasis (3 papers), Glycosylation and Glycoproteins Research (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Oncology (422 citations), Hepatology (115 citations), Immunology and Allergy (49 citations), Molecular Biology (511 citations) and Cancer Research (100 citations). E. Spitzer has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include Richard Grosse, W Zschiesche, Catherin Niemann, Walter Birchmeier, Yanmin Yang, K. Michael Weidner, Matthew S. Sachs, Guido Hartmann, Dirk Meyer and Carmen Birchmeier. Their work appears in journals such as Journal of Cellular Biochemistry, The Journal of Cell Biology, Biochimica et Biophysica Acta (BBA) - Biomembranes, International Journal of Cancer and Breast Cancer Research and Treatment.

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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