Steve J. Cramer

1.9k citations
31 papers · 1.5k · h-index 15

Impact in

Papers in

    • Virus-based gene therapy research 19
    • Viral Infectious Diseases and Gene Expression in Insects 7
    • CRISPR and Genetic Engineering 5
    • RNA Interference and Gene Delivery 3
    • Pluripotent Stem Cells Research 2

Steve J. Cramer

31 papers receiving 1.5k citations

Peers

Steve J. Cramer
Comparison fields: 5 of 99
  • Genetics 999
  • Infectious Diseases 290
  • Oncology 335
  • Molecular Biology 884
  • Biotechnology 100
Replace Frits J. Fallaux with:
Frits J. Fallaux Netherlands
Kathleen Hehir United States
D. Valerio Netherlands
T Friedmann United States
Michel Y. Nakano Switzerland
Franz J. Zemp Canada
Stephen F. Anderson United States
Paola Blanchette Canada
Denise R. Shaw United States
Suryanarayan Somanathan United States
Steve J. Cramer relative to Frits J. Fallaux Netherlands Frits J. Fallaux's profile →
Citations per field
00.5×2.7×
Frits J. Fallaux · 1×
Citations per year

Countries citing papers authored by Steve J. Cramer

Since Specialization
Citations

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

Fields of papers citing papers by Steve J. Cramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve J. Cramer. 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 Steve J. Cramer. The network helps show where Steve J. Cramer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996458
2 1998371
3 1980130
4 200475
5 199355
6 200049
7 201246
8 199944
9 202039
10 200833
11 199631
12 201026
13 200819
14 201015
15 197915
16 200613
17 198213
18 202111
19 201211
20 20099

About Steve J. Cramer

Steve J. Cramer is a scholar working on Genetics, Molecular Biology, Oncology, Infectious Diseases and Hematology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (19 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), CAR-T cell therapy research (5 papers), CRISPR and Genetic Engineering (5 papers), Viral gastroenteritis research and epidemiology (4 papers), RNA Interference and Gene Delivery (3 papers), Hemophilia Treatment and Research (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Genetics (999 citations), Infectious Diseases (290 citations), Oncology (335 citations), Molecular Biology (884 citations) and Biotechnology (100 citations). Steve J. Cramer has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Rob C. Hoeben, Frits J. Fallaux, H. van Ormondt, Alex J. van der Eb, Onno Kranenburg, Ada Houweling, Diana J.M. van den Wollenberg, Pieter van de Putte, Micheline Giphart-Gassler and A. Bout. Their work appears in journals such as Gene Therapy, Human Gene Therapy, Stem Cell Research, PLoS ONE and Experimental Hematology.

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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