Leslie V. Parise

6.3k citations
95 papers · 4.8k indexed · 1 hit paper · h-index 40

Leslie V. Parise

91 papers receiving 4.8k citations

Hit Papers

Cdc42 and Rac1 induce integrin-mediated cell motility and...6481997202620062016200400600

Peers

Leslie V. Parise
Comparison fields: 5 of 126
  • Immunology and Allergy 1.5k
  • Hematology 1.6k
  • Genetics 929
  • Cell Biology 913
  • Molecular Biology 2.1k
Replace Stefan Hemmerich with:
Stefan Hemmerich United States
Wadie F. Bahou United States
Ronald L. Heimark United States
Steingrimur Stefansson United States
Jaime A. Escobedo United States
Debra K. Newman United States
Marcel Spaargaren Netherlands
David G. Motto United States
Adriana Zanetti Italy
John D. Hooper Australia
Leslie V. Parise relative to Stefan Hemmerich United States Stefan Hemmerich's profile →
Citations per field
00.5×2.8×
Stefan Hemmerich · 1×
Citations per year

Countries citing papers authored by Leslie V. Parise

Since Specialization
Citations

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

Fields of papers citing papers by Leslie V. Parise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leslie V. Parise. 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 Leslie V. Parise. The network helps show where Leslie V. Parise may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201965
2 201619
3 20146
4 201318
5 201330
6 20113
7 201077
8 200813
9 200739
10 200740
11 2006114
12 200543
13 200469
14 1998181
15 1997213
16 199686
17 199222
18 198916
19 198762
20 198212

About Leslie V. Parise

Leslie V. Parise is a scholar working on Immunology and Allergy, Hematology and Genetics, having authored 95 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (36 papers), Platelet Disorders and Treatments (32 papers), Blood properties and coagulation (16 papers), Hemoglobinopathies and Related Disorders (16 papers), Ubiquitin and proteasome pathways (11 papers), Erythrocyte Function and Pathophysiology (10 papers), Antiplatelet Therapy and Cardiovascular Diseases (9 papers) and Hippo pathway signaling and YAP/TAZ (9 papers). The work is most often cited by research in Immunology and Allergy (1.5k citations), Hematology (1.6k citations) and Genetics (929 citations). Leslie V. Parise has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Patricia J. Keely, Channing J. Der, John Westwick, Ian P. Whitehead, Eugene P. Orringer, R. L. Juliano, Ulhas P. Naik, Kenneth I. Ataga, Stephen P. Holly and Julia E. Brittain. Their work appears in journals such as Nature, Journal of Biological Chemistry and Angewandte Chemie International Edition.

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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