Alan P.B. Dackiw

4.0k citations
79 papers · 3.0k indexed · h-index 32

Impact in

Papers in

Alan P.B. Dackiw

75 papers receiving 2.9k citations

Peers

Alan P.B. Dackiw
Comparison fields: 5 of 103
  • Nephrology 582
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Cancer Research 490
  • Surgery 1.4k
  • Oncology 632
Replace Franco Lumachi with:
Franco Lumachi Italy
Vânia Nosé United States
Bernd Hohenstein Germany
John H. Yim United States
Arno Lingenhel Austria
Carmen Bustos Spain
Viviane Gnemmi France
Caroline Fung Australia
Tetsuro Ishikawa Japan
Takeo Kosaka Japan
Alan P.B. Dackiw relative to Franco Lumachi Italy Franco Lumachi's profile →
Citations per field
00.5×1.6×
Franco Lumachi · 1×
Citations per year

Countries citing papers authored by Alan P.B. Dackiw

Since Specialization
Citations

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

Fields of papers citing papers by Alan P.B. Dackiw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan P.B. Dackiw. 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 Alan P.B. Dackiw. The network helps show where Alan P.B. Dackiw may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201615
2 201316
3 201228
4 20119
5 20117
6 20108
7 20101
8 201031
9 20096
10 200866
11 20059
12 200533
13 200438
14 200455
15 200424
16 200213
17 200072
18 199771
19 19958
20 199526

About Alan P.B. Dackiw

Alan P.B. Dackiw is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Surgery, Hematology and Cancer Research, having authored 79 papers that have together received 3.0k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (24 papers), Parathyroid Disorders and Treatments (16 papers), Thyroid and Parathyroid Surgery (16 papers), Neuroendocrine Tumor Research Advances (12 papers), Adrenal and Paraganglionic Tumors (10 papers), Pituitary Gland Disorders and Treatments (9 papers), Genetic Syndromes and Imprinting (7 papers) and Hormonal Regulation and Hypertension (7 papers). The work is most often cited by research in Nephrology (582 citations), Endocrinology, Diabetes and Metabolism (1.3k citations), Cancer Research (490 citations), Surgery (1.4k citations) and Oncology (632 citations). Alan P.B. Dackiw has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Martha A. Zeiger, Jeffrey E. Lee, Douglas B. Evans, Ralph P. Tufano, Robert F. Gagel, Ori D. Rotstein, Helina Somervell, Christopher B. Umbricht, Mingzhao Xing and Avery B. Nathens. Their work appears in journals such as Surgery, Thyroid, Journal of Surgical Research, World Journal of Surgery and Current Treatment Options in Oncology.

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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