Michael Kaleko

4.7k citations
76 papers · 3.9k indexed · h-index 37

Michael Kaleko

75 papers receiving 3.8k citations

Peers

Michael Kaleko
Comparison fields: 5 of 108
  • Genetics 2.1k
  • Oncology 1.1k
  • Molecular Biology 2.6k
  • Hematology 412
  • Endocrinology, Diabetes and Metabolism 520
Replace Gunnar V. Alm with:
Gunnar V. Alm Sweden
J A Bluestone United States
Jacques F.A.P. Miller Australia
Bernard J. Scallon United States
Raymond J. Steptoe Australia
Lars Rogge France
S F Schlossman United States
Roberto Baccalà United States
Philip J. Lucas United States
Barry J. Sugarman United States
Michael Kaleko relative to Gunnar V. Alm Sweden Gunnar V. Alm's profile →
Citations per field
00.5×3.8×
Gunnar V. Alm · 1×
Citations per year

Countries citing papers authored by Michael Kaleko

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kaleko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20196
4 20182
5 201831
6 201655
7 200477
8 200414
9 20048
10 2003108
11 20029
12 200289
13 200037
14 199936
15 199874
16 199657
17 1993295
18 199319
19
Transformation mediated by the human HER-2 gene independent of the epidermal growth factor receptor.
1992138
20 199054

About Michael Kaleko

Michael Kaleko is a scholar working on Molecular Medicine, Hematology and Genetics, having authored 76 papers that have together received 3.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (37 papers), Hemophilia Treatment and Research (14 papers), Clostridium difficile and Clostridium perfringens research (12 papers), CRISPR and Genetic Engineering (11 papers), Viral Infectious Diseases and Gene Expression in Insects (11 papers), Antibiotic Resistance in Bacteria (11 papers), RNA Interference and Gene Delivery (10 papers) and CAR-T cell therapy research (10 papers). The work is most often cited by research in Genetics (2.1k citations), Oncology (1.1k citations) and Molecular Biology (2.6k citations). Michael Kaleko has collaborated with scholars based in United States, Switzerland and South Africa. Frequent co-authors include A. Dusty Miller, Sheila Connelly, Alan McClelland, William J. Rutter, Theodore A Smith, Dawn B. Kayda, Michele G. Mehaffey, Neeraja Idamakanti, J. Victor Garcia and Bruce C. Trapnell. Their work appears in journals such as Human Gene Therapy, Blood, Journal of Cellular Physiology, Open Forum Infectious Diseases and Molecular Therapy.

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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