Anna E. Long

1.1k citations
28 papers · 512 · 1 hit paper · h-index 14

Impact in

Papers in

Anna E. Long

24 papers receiving 500 citations

Anna E. Long's Hit Papers

Screening for Type 1 Diabetes in the General Population: A Status Report and Perspective 2022 · 117 citations
1170+1+2Years since publication255075100

Peers

Anna E. Long
Comparison fields: 5 of 64
  • Endocrinology, Diabetes and Metabolism 326
  • Genetics 386
  • Surgery 308
  • Immunology 85
  • Gastroenterology 19
Replace Marco Capizzi with:
Marco Capizzi Italy
Evy Vandemeulebroucke Belgium
Katelijn Decochez Belgium
A. Petrone Italy
Taylor M. Triolo United States
E. Bakhtadze Sweden
Patrick Rowe United States
DA Heaton United Kingdom
Jean Sirmai France
Diane Rottembourg Canada
Anna E. Long relative to Marco Capizzi Italy Marco Capizzi's profile →
Citations per field
00.5×5.8×
Marco Capizzi · 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 28 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 →
2022117
2 201243
3 201337
4 201131
5 201829
6 201628
7 201827
8 201126
9 200823
10 201920
11 202319
12 202019
13 201317
14 201713
15 202111
16 202111
17 200810
18 20159
19 20228
20 20186

About Anna E. Long

Anna E. Long is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Immunology and Physiology, having authored 28 papers that have together received 512 indexed citations. Recurring topics across this work include Diabetes and associated disorders (24 papers), Pancreatic function and diabetes (17 papers), Diabetes Management and Research (17 papers), Immune Cell Function and Interaction (6 papers), Diet and metabolism studies (3 papers), T-cell and B-cell Immunology (3 papers), Diet, Metabolism, and Disease (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (326 citations), Genetics (386 citations), Surgery (308 citations), Immunology (85 citations) and Gastroenterology (19 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 Williams, F. Susan Wong, Marian Rewers, Andrea K. Steck, Colin Dayan, Kevan C. Herold and Anette‐Gabriele Ziegler. Their work appears in journals such as Diabetologia, Diabetes, Diabetic Medicine, Clinical & Experimental Immunology and European Journal of Endocrinology.

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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