Emma K. Biggs

814 total citations · 1 hit paper
7 papers, 454 citations indexed

About

Emma K. Biggs is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Emma K. Biggs has authored 7 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Emma K. Biggs's work include Diabetes Treatment and Management (4 papers), Pancreatic function and diabetes (3 papers) and Diet and metabolism studies (2 papers). Emma K. Biggs is often cited by papers focused on Diabetes Treatment and Management (4 papers), Pancreatic function and diabetes (3 papers) and Diet and metabolism studies (2 papers). Emma K. Biggs collaborates with scholars based in United Kingdom, United States and South Korea. Emma K. Biggs's co-authors include Fiona M. Gribble, Frank Reimann, Giles S.H. Yeo, Davide Chiarugi, Brian Lam, Clémence Blouet, Tamana Darwish, Milind Girish, Joseph Polex-Wolf and Alice E. Adriaenssens and has published in prestigious journals such as The Journal of Experimental Medicine, Cell Metabolism and Diabetologia.

In The Last Decade

Emma K. Biggs

7 papers receiving 451 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Glucose-Dependent Insulinotropic Polypeptide Receptor-Expressing Cells in the Hypothalamus Regulate Food Intake

2019 237 citations Alice E. Adriaenssens, Emma K. Biggs et al. Cell Metabolism profile →

Author Peers

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

Author						Papers	Cites
Emma K. Biggs	258	171	168	129	79	7	454
Takanari Harada	306 1.2×	208 1.2×	221 1.3×	144 1.1×	45 0.6×	12	545
Lisa Getty‐Kaushik	202 0.8×	153 0.9×	131 0.8×	102 0.8×	73 0.9×	8	353
Susanna Mac	406 1.6×	252 1.5×	194 1.2×	74 0.6×	106 1.3×	9	569
Yang Wei	285 1.1×	142 0.8×	173 1.0×	39 0.3×	36 0.5×	10	447
Shinpei Fujimoto	311 1.2×	161 0.9×	249 1.5×	57 0.4×	27 0.3×	2	424
Glyn M. Noguchi	255 1.0×	184 1.1×	394 2.3×	58 0.4×	33 0.4×	10	542
Burkhard Göke	409 1.6×	129 0.8×	255 1.5×	129 1.0×	33 0.4×	11	550
Silvia Ciani	295 1.1×	197 1.2×	138 0.8×	52 0.4×	60 0.8×	5	411
R Lugari	207 0.8×	89 0.5×	140 0.8×	100 0.8×	35 0.4×	14	362

Countries citing papers authored by Emma K. Biggs

Since Specialization

Citations

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

Fields of papers citing papers by Emma K. Biggs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma K. Biggs. 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 Emma K. Biggs. The network helps show where Emma K. Biggs may publish in the future.

Co-authorship network of co-authors of Emma K. Biggs

This figure shows the co-authorship network connecting the top 25 collaborators of Emma K. Biggs. A scholar is included among the top collaborators of Emma K. Biggs 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 Emma K. Biggs. Emma K. Biggs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

Ingram, Richard M., et al.. (2024). Use of tRNA gene barriers improves stability of transgene expression in CHO cells. Biotechnology Journal. 19(8). e2400196–e2400196. 1 indexed citations

Kay, Richard G., Rachel E. Foreman, Pierre Larraufie, et al.. (2021). The Human and Mouse Islet Peptidome: Effects of Obesity and Type 2 Diabetes, and Assessment of Intraislet Production of Glucagon-like Peptide-1. Journal of Proteome Research. 20(9). 4507–4517. 20 indexed citations

Larraufie, Pierre, Geoffrey Roberts, Anne K. McGavigan, et al.. (2019). Important Role of the GLP-1 Axis for Glucose Homeostasis after Bariatric Surgery. Cell Reports. 26(6). 1399–1408.e6. 117 indexed citations

Adriaenssens, Alice E., Emma K. Biggs, Tamana Darwish, et al.. (2019). Glucose-Dependent Insulinotropic Polypeptide Receptor-Expressing Cells in the Hypothalamus Regulate Food Intake. Cell Metabolism. 30(5). 987–996.e6. 237 indexed citations breakdown →

Buczacki, Simon J. A., Emma K. Biggs, Chrysa Koukorava, et al.. (2018). Itraconazole targets cell cycle heterogeneity in colorectal cancer. The Journal of Experimental Medicine. 215(7). 1891–1912. 53 indexed citations

Larraufie, Pierre, Geoffrey Roberts, Anne K. McGavigan, et al.. (2018). Important Role of the GLP-1 Axis for Glucose Homeostasis after Bariatric Surgery. SSRN Electronic Journal. 1 indexed citations

Biggs, Emma K., Lihuan Liang, Jacqueline Naylor, et al.. (2017). Development and characterisation of a novel glucagon like peptide-1 receptor antibody. Diabetologia. 61(3). 711–721. 25 indexed citations

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.

Explore authors with similar magnitude of impact