Donald T. Kulas

584 citations
8 papers · 485 indexed · h-index 7
Topics
Protein Tyrosine Phosphatases (5 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)Chronic Lymphocytic Leukemia Research (2 papers)
Partner nations
United States

In The Last Decade

Donald T. Kulas

8 papers receiving 467 citations

Peers

Donald T. Kulas
Comparison fields: 5 of 62
  • Molecular Biology 399
  • Immunology 179
  • Hematology 102
  • Oncology 74
  • Endocrinology, Diabetes and Metabolism 65
Replace LS Steelman with:
LS Steelman United States
Peter H. Heidemann Germany
Kazuhide Misawa Japan
I. L. O. Ponting United Kingdom
Kati Servan Germany
Michael W. Potter United States
Valeria Belsito Petrizzi Italy
Claudine Billat France
Séverine Cunat France
Eva Ulbrich Germany
Donald T. Kulas relative to LS Steelman United States LS Steelman's profile →
Citations per field
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LS Steelman · 1×
Citations per year

Countries citing papers authored by Donald T. Kulas

Since Specialization
Citations

This map shows the geographic impact of Donald T. Kulas'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 Donald T. Kulas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald T. Kulas more than expected).

Fields of papers citing papers by Donald T. Kulas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald T. Kulas. 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 Donald T. Kulas. The network helps show where Donald T. Kulas may publish in the future.

Co-authorship network of co-authors of Donald T. Kulas

This figure shows the co-authorship network connecting the top 25 collaborators of Donald T. Kulas. A scholar is included among the top collaborators of Donald T. Kulas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donald T. Kulas. Donald T. Kulas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 23
2 35
3 3
4 108
5 35
6 134
7
Functional insulin and insulin-like growth factor-1 receptors are preferentially expressed in multiple myeloma cell lines as compared to B-lymphoblastoid cell lines.
49
8 98

About Donald T. Kulas

Donald T. Kulas is a scholar working on Genetics, Hematology and Endocrinology, Diabetes and Metabolism, having authored 8 papers that have together received 485 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (102 citations), Immunology (179 citations) and Molecular Biology (399 citations). Donald T. Kulas has collaborated with scholars based in United States. Frequent co-authors include Robert A. Mooney, Barry J. Goldstein, Gregory G. Freund, Wei-Ren Zhang, Richard W. Furlanetto, Laura E. Schanberg, John S. Novak, C E Sparks, Thuy L. Phung and Janet D. Sparks. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Biochemical and Biophysical Research Communications.

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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