Anne Hickman

37 total papers · 546 total citations
31 papers, 349 citations indexed

About

Anne Hickman is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Anne Hickman has authored 31 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 17 papers in Molecular Biology and 11 papers in Surgery. Recurrent topics in Anne Hickman's work include Diabetes Treatment and Management (18 papers), Metabolism, Diabetes, and Cancer (13 papers) and Pancreatic function and diabetes (5 papers). Anne Hickman is often cited by papers focused on Diabetes Treatment and Management (18 papers), Metabolism, Diabetes, and Cancer (13 papers) and Pancreatic function and diabetes (5 papers). Anne Hickman collaborates with scholars based in United States, France and United Kingdom. Anne Hickman's co-authors include Steven G. Terra, Vaishali Sahasrabudhe, Haihong Shi, Yali Liang, Kyle Matschke, David L. Cutler, Ira Gantz, Susan Zhou, Didier Saur and Rajesh Krishna and has published in prestigious journals such as Blood, Diabetologia and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Anne Hickman

31 papers receiving 337 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Anne Hickman	199	131	93	62	59	31	349
Ryoko Motonaga	195 1.0×	161 1.2×	99 1.1×	26 0.4×	59 1.0×	20	350
Quanzhong Li	88 0.4×	139 1.1×	106 1.1×	26 0.4×	31 0.5×	27	384
Aditya Goud	168 0.8×	109 0.8×	108 1.2×	42 0.7×	67 1.1×	24	330
N Hayakawa	97 0.5×	125 1.0×	54 0.6×	35 0.6×	41 0.7×	37	388
Kavita Shalia	81 0.4×	57 0.4×	74 0.8×	44 0.7×	31 0.5×	32	333
Shinji Kamei	192 1.0×	90 0.7×	105 1.1×	24 0.4×	44 0.7×	43	356
Kevin Yang	217 1.1×	144 1.1×	60 0.6×	50 0.8×	14 0.2×	20	380
Fang‐Hong Shi	149 0.7×	108 0.8×	43 0.5×	24 0.4×	19 0.3×	31	302
M. Stimpel	132 0.7×	77 0.6×	91 1.0×	29 0.5×	13 0.2×	40	351
Tianrong Pan	149 0.7×	83 0.6×	59 0.6×	25 0.4×	55 0.9×	40	392

Countries citing papers authored by Anne Hickman

Since Specialization

Citations

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

Fields of papers citing papers by Anne Hickman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Hickman

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Hickman. A scholar is included among the top collaborators of Anne Hickman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anne Hickman. Anne Hickman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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