R. Lerner

1.2k citations
29 papers · 745 · h-index 17

Impact in

Papers in

    • Acute Myeloid Leukemia Research 4
    • Platelet Disorders and Treatments 4
    • Blood Coagulation and Thrombosis Mechanisms 3
    • S100 Proteins and Annexins 4

R. Lerner

29 papers receiving 718 citations

Peers

R. Lerner
Comparison fields: 5 of 85
  • Hematology 261
  • Immunology and Allergy 94
  • Genetics 145
  • Immunology 188
  • Oncology 147
Replace Anja Vales with:
Anja Vales Austria
D. Brackertz Germany
T Akabane Japan
A Lindemann Germany
Eugene S. Medlock United States
Raffaella Guerriero Italy
Urszula Kralisz Poland
A Oliff United States
Y Niitsu Japan
Mark Sopwith United Kingdom
R. Lerner relative to Anja Vales Austria Anja Vales's profile →
Citations per field
00.5×1.6×
Anja Vales · 1×
Citations per year

Countries citing papers authored by R. Lerner

Since Specialization
Citations

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

Fields of papers citing papers by R. Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000181
2 199462
3 199056
4 199240
5 199231
6 199130
7 199029
8 199126
9 199325
10 200424
11 199824
12 201224
13 200523
14 199523
15 198821
16 199321
17 198321
18 200216
19 198814
20 199413

About R. Lerner

R. Lerner is a scholar working on Hematology, Molecular Biology, Immunology and Allergy, Immunology and Oncology, having authored 29 papers that have together received 745 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Acute Myeloid Leukemia Research (4 papers), S100 Proteins and Annexins (4 papers), Platelet Disorders and Treatments (4 papers), Immune Response and Inflammation (4 papers), Neutropenia and Cancer Infections (4 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). The work is most often cited by research in Hematology (261 citations), Immunology and Allergy (94 citations), Genetics (145 citations), Immunology (188 citations) and Oncology (147 citations). R. Lerner has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Jan Palmblad, Peter Lindström, Lars Göran Lundberg, Judah Folkman, Rick A. Rogers, Sten Larsson, Manuel E. Patarroyo, Mikael Heimbürger, Gunnar Grimfors and Per Ljungman. Their work appears in journals such as Scandinavian Journal of Immunology, British Journal of Haematology, Biochemical and Biophysical Research Communications, Blood and Leukemia Research.

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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