Eva Spitzer

1.1k citations
27 papers · 973 · h-index 15

Impact in

  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

    • Animal Genetics and Reproduction 4
    • Estrogen and related hormone effects 2
    • HER2/EGFR in Cancer Research 5
    • Cancer Cells and Metastasis 3

Eva Spitzer

27 papers receiving 923 citations

Peers

Eva Spitzer
Comparison fields: 5 of 80
  • Oncology 421
  • Hepatology 114
  • Immunology and Allergy 49
  • Molecular Biology 519
  • Cancer Research 102
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Citations per field
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Citations per year

Countries citing papers authored by Eva Spitzer

Since Specialization
Citations

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

Fields of papers citing papers by Eva Spitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995277
2 1998120
3 1994104
4 199564
5 198056
6 199249
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 199515
16 199413
17 199513
18 200311
19 198310
20
Local control of mammary gland differentiation: mammary-derived growth inhibitor and pleiotrophin.
19987

About Eva Spitzer

Eva Spitzer is a scholar working on Genetics, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Neurology, having authored 27 papers that have together received 973 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), Biopolymer Synthesis and Applications (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Oncology (421 citations), Hepatology (114 citations), Immunology and Allergy (49 citations), Molecular Biology (519 citations) and Cancer Research (102 citations). Eva Spitzer has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include Richard Grosse, Wolfgang Zschiesche, Catherin Niemann, Walter Birchmeier, Yanmin Yang, Guido R. Hartmann, Matthew S. Sachs, Dirk Meyer, K. Michael Weidner and Carmen Birchmeier. Their work appears in journals such as Journal of Cellular Biochemistry, The Journal of Cell Biology, International Journal of Cancer, Biochimica et Biophysica Acta (BBA) - Biomembranes 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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