Lars Hellman

7.1k citations
170 papers · 5.3k indexed · h-index 42

Lars Hellman

169 papers receiving 5.2k citations

Peers

Lars Hellman
Comparison fields: 5 of 122
  • Immunology and Allergy 1.3k
  • Immunology 3.2k
  • Genetics 619
  • Cell Biology 587
  • Molecular Biology 2.0k
Replace Daisuke Kitamura with:
Daisuke Kitamura Japan
Tatsuo Kinashi Japan
Kensuke Miyake Japan
J. Sjef Verbeek Netherlands
A Minty France
Richard G. Woodbury United States
Judith C. Gasson United States
E. Robbins United States
G. Galfré United Kingdom
C Gorman United States
Lars Hellman relative to Daisuke Kitamura Japan Daisuke Kitamura's profile →
Citations per field
00.5×1.5×2.1×
Daisuke Kitamura · 1×
Citations per year

Countries citing papers authored by Lars Hellman

Since Specialization
Citations

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

Fields of papers citing papers by Lars Hellman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20230
3 20232
4 20226
5 202211
6 20227
7 20221
8 202015
9 20184
10 201539
11 20148
12 200949
13 20039
14 200242
15 200240
16 200136
17 20019
18
The evolution of modern post switch isotypes: a study of immunoglobulin isotypes in marsupials and monotremes
20001
19 200058
20
Human cell lines U-937, THP-1 and Mono Mac 6 represent relatively immature cells of the monocyte-macrophage cell lineage.
199479

About Lars Hellman

Lars Hellman is a scholar working on Immunology and Allergy, Immunology and Genetics, having authored 170 papers that have together received 5.3k indexed citations. Recurring topics across this work include Mast cells and histamine (72 papers), Food Allergy and Anaphylaxis Research (34 papers), T-cell and B-cell Immunology (29 papers), Monoclonal and Polyclonal Antibodies Research (28 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (26 papers), Asthma and respiratory diseases (22 papers), Glycosylation and Glycoproteins Research (19 papers) and Polyamine Metabolism and Applications (18 papers). The work is most often cited by research in Immunology and Allergy (1.3k citations), Immunology (3.2k citations) and Genetics (619 citations). Lars Hellman has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Michael Thorpe, Maria Aveskogh, Srinivas Akula, Magnus Åbrink, Gunnar Pejler, Zhirong Fu, Thomas Blom, Maike Gallwitz, Lena Kjellén and Marion Kusche‐Gullberg. Their work appears in journals such as Immunogenetics, International Journal of Molecular Sciences, PLoS ONE, European Journal of Immunology and Scandinavian Journal of Immunology.

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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