Laurie Pukac

2.8k citations
21 papers · 1.4k indexed · h-index 14

Laurie Pukac

21 papers receiving 1.3k citations

Peers

Laurie Pukac
Comparison fields: 5 of 89
  • Molecular Biology 840
  • Cell Biology 231
  • Pulmonary and Respiratory Medicine 200
  • Cancer Research 185
  • Immunology and Allergy 166
Replace Emanuela Moroni with:
Emanuela Moroni Italy
Graziano Seghezzi United States
Yoshiya Shimao Japan
Walter Seelentag Switzerland
B Nico Italy
R.S. Lemons United States
Francisco J. Blanco Spain
Tatyana A. Kupriyanova United States
Victoria Stepanova Russia
Karin Weindel Germany
Laurie Pukac relative to Emanuela Moroni Italy Emanuela Moroni's profile →
Citations per field
00.5×1.7×
Emanuela Moroni · 1×
Citations per year

Countries citing papers authored by Laurie Pukac

Since Specialization
Citations

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

Fields of papers citing papers by Laurie Pukac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurie Pukac

This figure shows the co-authorship network connecting the top 25 collaborators of Laurie Pukac. A scholar is included among the top collaborators of Laurie Pukac 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 Laurie Pukac. Laurie Pukac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 3
3 4
4 10
5 2
6 6
7 415
8 241
9
Human agonistic anti-TRAIL receptor antibodies, HGS-ETR1 and HGS-ETR2, induce apoptosis in diverse hematological tumor lines
5
10 103
11 32
12 14
13 92
14 24
15 94
16
Antiproliferative effects of novel, nonanticoagulant heparin derivatives on vascular smooth muscle cells in vitro and in vivo.
36
17 116
18 107
19 18
20 14

About Laurie Pukac

Laurie Pukac is a scholar working on Immunology and Allergy, Oncology and Molecular Biology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (5 papers), Angiogenesis and VEGF in Cancer (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Immunology and Allergy (166 citations), Genetics (165 citations) and Cell Biology (231 citations). Laurie Pukac has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Morris J. Karnovsky, Qinghai Zhao, Michael E. Ottlinger, M J Karnovsky, Clemens W.G.M. Löwik, Zhen Liu, Maarten van Dinther, R.L. van Bezooijen, Marion Scharpfenecker and Peter ten Dijke. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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