Anna E. Long

1.2k citations
34 papers · 613 · 1 hit paper · h-index 14

Impact in

Papers in

Anna E. Long

29 papers receiving 600 citations

Anna E. Long's Hit Papers

Screening for Type 1 Diabetes in the General Population: A Status Report and Perspective 2022 · 149 citations
1490+1+2Years since publication4080120

Peers

Anna E. Long
Comparison fields: 5 of 63
  • Endocrinology, Diabetes and Metabolism 256
  • Genetics 433
  • Surgery 235
  • Immunology 72
  • Gastroenterology 18
Replace Patrick A. Rowe with:
Patrick A. Rowe United States
Katelijn Decochez Belgium
Stina Axelsson Sweden
A. Petrone Italy
Taylor M. Triolo United States
DA Heaton United Kingdom
E. Sabbah Finland
Ľubomír Barák Slovakia
Ikuro Matsuba Japan
John Chip Reed United States
Anna E. Long relative to Patrick A. Rowe United States Patrick A. Rowe's profile →
Citations per field
00.5×2×3×3.6×
Patrick A. Rowe · 1×
Citations per year

Countries citing papers authored by Anna E. Long

Since Specialization
Citations

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

Fields of papers citing papers by Anna E. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna E. Long. 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 Anna E. Long. The network helps show where Anna E. Long may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Screening for Type 1 Diabetes in the General Population: A Status Report and Perspective
Hit paper breakdown →
2022149
2 201249
3 201340
4 201833
5 201632
6 201130
7 202329
8 201828
9 201127
10 201924
11 200824
12 202021
13 201317
14 201715
15 202114
16 202112
17 200812
18 202211
19 20229
20 20159

About Anna E. Long

Anna E. Long is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Immunology and Physiology, having authored 34 papers that have together received 613 indexed citations. Recurring topics across this work include Diabetes and associated disorders (28 papers), Diabetes Management and Research (10 papers), Pancreatic function and diabetes (9 papers), Diet and metabolism studies (3 papers), Immune Cell Function and Interaction (3 papers), Diet, Metabolism, and Disease (2 papers), Glycosylation and Glycoproteins Research (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (256 citations), Genetics (433 citations), Surgery (235 citations), Immunology (72 citations) and Gastroenterology (18 citations). Anna E. Long has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Alistair J.K. Williams, Kathleen M. Gillespie, Polly J. Bingley, Claire Louise Williams, Florence Susan Wong, Andrea K. Steck, Marian Rewers, Colin Mark Dayan, Rachel E.J. Besser and Anette‐Gabriele Ziegler. Their work appears in journals such as Diabetologia, Diabetic Medicine, Diabetes, Diabetes Care and Clinical & Experimental 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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