Nils Welsh

8.9k citations
167 papers · 7.7k · 1 hit paper · h-index 45

Impact in

Papers in

Nils Welsh

167 papers receiving 7.5k citations

Nils Welsh's Hit Papers

Mechanisms of Pancreatic β-Cell Death in Type 1 and Type 2 Diabetes 2005 · 1.3k citations
1.3k0+7+14Years since publication4008001.2k

Peers

Nils Welsh
Comparison fields: 5 of 124
  • Endocrinology, Diabetes and Metabolism 2.0k
  • Surgery 4.1k
  • Genetics 2.4k
  • Cell Biology 845
  • Physiology 1.2k
Replace Yoshio Fujitani with:
Yoshio Fujitani Japan
Lorella Marselli Italy
R Lupi Italy
C. Bruce Verchere Canada
Marco Bugliani Italy
Jean‐Christophe Jonas Belgium
Raghavendra G. Mirmira United States
Julie Kerr‐Conte France
Alessandra K. Cardozo Belgium
Nurit Kaiser Israel
Nils Welsh relative to Yoshio Fujitani Japan Yoshio Fujitani's profile →
Citations per field
00.5×1.5×
Yoshio Fujitani · 1×
Citations per year

Countries citing papers authored by Nils Welsh

Since Specialization
Citations

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

Fields of papers citing papers by Nils Welsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mechanisms of Pancreatic β-Cell Death in Type 1 and Type 2 Diabetes
Hit paper breakdown →
20051264
2 1991297
3 1994281
4 1996281
5 1994231
6 1999211
7 1995185
8 2002134
9 2012121
10 2006117
11 1999113
12 2005111
13 2002108
14 1996106
15 1992101
16 1996100
17 200999
18 198994
19 198990
20 200185

About Nils Welsh

Nils Welsh is a scholar working on Surgery, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and Physiology, having authored 167 papers that have together received 7.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (107 papers), Diabetes and associated disorders (45 papers), Diet, Metabolism, and Disease (24 papers), Metabolism, Diabetes, and Cancer (23 papers), Diabetes Management and Research (18 papers), Endoplasmic Reticulum Stress and Disease (16 papers), Adipose Tissue and Metabolism (11 papers) and Chronic Myeloid Leukemia Treatments (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.0k citations), Surgery (4.1k citations), Genetics (2.4k citations), Cell Biology (845 citations) and Physiology (1.2k citations). Nils Welsh has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Décio L. Eizirik, Stellan Sandler, Miriam Cnop, Sigurd Lenzen, Jean‐Christophe Jonas, Anne Jörns, Claes Hellerström, Johan Saldeen, Klaus Bendtzen and Michael Welsh. Their work appears in journals such as Diabetes, Endocrinology, Diabetologia, Biochemical and Biophysical Research Communications and Biochemical Journal.

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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