Viveca Nerme

22 papers receiving 478 citations

Peers

Viveca Nerme
Comparison fields: 5 of 71
  • Hematology 180
  • Cancer Research 101
  • Internal Medicine 19
  • Genetics 53
  • Cardiology and Cardiovascular Medicine 88
Replace Anne-Marie Marés with:
Anne-Marie Marés France
John Dixon United Kingdom
Jutta Meyer-Kirchrath Germany
Lee C. Preusser United States
Shoji Kume Japan
S.F. Brady United Kingdom
Huzoor‐Akbar United States
Arthur S. Brecher United States
A. Nakao Japan
Carole R. Pritzker United States
Viveca Nerme relative to Anne-Marie Marés France Anne-Marie Marés's profile →
Citations per field
00.5×2×3×3.7×
Anne-Marie Marés · 1×
Citations per year

Countries citing papers authored by Viveca Nerme

Since Specialization
Citations

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

Fields of papers citing papers by Viveca Nerme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200491
2 199744
3 200339
4 199634
5 201532
6 199030
7 198827
8 201226
9 198725
10 198523
11 200222
12 199021
13 198418
14 199818
15 200517
16 199013
17 199410
18 19868
19 19867
20 19873

About Viveca Nerme

Viveca Nerme is a scholar working on Molecular Biology, Animal Science and Zoology, Hematology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 512 indexed citations. Recurring topics across this work include Pharmacological Effects and Assays (8 papers), Receptor Mechanisms and Signaling (8 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers), Protease and Inhibitor Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Cell Adhesion Molecules Research (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). The work is most often cited by research in Hematology (180 citations), Cancer Research (101 citations), Internal Medicine (19 citations), Genetics (53 citations) and Cardiology and Cardiovascular Medicine (88 citations). Viveca Nerme has collaborated with scholars based in Sweden, Belgium and United Kingdom. Frequent co-authors include Tommy Abrahamsson, Judith Leurs, Dirk Hendriks, Georges Vauquelin, J.J.J. van Giezen, Bengt Ek, K. Schatteman, Petter Björquist, Per‐Ove Sjöquist and Anders Hedberg. Their work appears in journals such as Thrombosis and Haemostasis, Naunyn-Schmiedeberg s Archives of Pharmacology, Biochemical Pharmacology, Molecular Pharmacology and Journal of Pharmacology and Experimental Therapeutics.

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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