I M Kramer

552 citations
9 papers · 481 · h-index 8

Impact in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation
    • Cell Adhesion Molecules Research

Papers in

    • S100 Proteins and Annexins 3
    • Protein Kinase Regulation and GTPase Signaling 2
    • Angiogenesis and VEGF in Cancer 1
    • Cancer Treatment and Pharmacology 1
    • Colorectal Cancer Treatments and Studies 1
    • Cancer-related Molecular Pathways 1

I M Kramer

8 papers receiving 469 citations

Peers

I M Kramer
Comparison fields: 5 of 71
  • Immunology 208
  • Immunology and Allergy 44
  • Neurology 36
  • Molecular Biology 274
  • Physiology 88
Replace Mitsuru Machide with:
Mitsuru Machide Japan
Shin Akakura United States
Julie Dwyer France
Ligaya Pen United States
Jerald A. Donovan United States
Edwige Voisset France
Lynn M. McCormick United States
I. Kärkkäinen Finland
Ronit Haklai Israel
Rebekka M. Ortiz Finland
I M Kramer relative to Mitsuru Machide Japan Mitsuru Machide's profile →
Citations per field
00.5×1.5×1.9×
Mitsuru Machide · 1×
Citations per year

Countries citing papers authored by I M Kramer

Since Specialization
Citations

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

Fields of papers citing papers by I M Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I M Kramer. 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 I M Kramer. The network helps show where I M Kramer may publish in the future.

Co-authors

The 23 scholars most cited alongside I M Kramer, 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 I M Kramer Line = papers co-authored together I M Kramer links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1988117
2 200794
3 198983
4 198977
5 199175
6 199818
7
Correlation between expression of CD44 splice variant v8-v9 and invasiveness of fibroblast-like synoviocytes in an in vitro system.
20049
8 20078
9 20240

About I M Kramer

I M Kramer is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Small Animals, having authored 9 papers that have together received 481 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), S100 Proteins and Annexins (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cancer Treatment and Pharmacology (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Cancer-related Molecular Pathways (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Immunology (208 citations), Immunology and Allergy (44 citations), Neurology (36 citations), Molecular Biology (274 citations) and Physiology (88 citations). I M Kramer has collaborated with scholars based in Netherlands, Germany and France. Frequent co-authors include Dirk Roos, Hans‐Peter Lipp, R.L. van der Bend, A. J. Verhoeven, Ron S. Weening, Siegfried W. de Laat, I. Koornneef, Wim J. van Blitterswijk, Anton T. J. Tool and Ben G.J.M. Bolscher. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal, Lara D. Veeken, Journal of Clinical Investigation and Oncogene.

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.

Explore authors with similar magnitude of impact