B. Higgins

2.6k total citations · 1 hit paper
27 papers, 1.6k citations indexed

About

B. Higgins is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, B. Higgins has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 8 papers in Pulmonary and Respiratory Medicine and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in B. Higgins's work include Colorectal Cancer Screening and Detection (5 papers), Pregnancy-related medical research (4 papers) and Gastric Cancer Management and Outcomes (4 papers). B. Higgins is often cited by papers focused on Colorectal Cancer Screening and Detection (5 papers), Pregnancy-related medical research (4 papers) and Gastric Cancer Management and Outcomes (4 papers). B. Higgins collaborates with scholars based in United Kingdom, Australia and United States. B. Higgins's co-authors include P C Weaver, David Prytherch, W G Prout, S Powell, Mark S Whiteley, S. M. Rane, K. H. Nicolaides, Taraneh Dean, C. Bernie Clayton and Carina Venter and has published in prestigious journals such as Gut, Thorax and British journal of surgery.

In The Last Decade

B. Higgins

25 papers receiving 1.5k citations

Hit Papers

POSSUM and Portsmouth POSSUM for predicting mortality 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
B. Higgins United Kingdom 18 712 531 345 335 271 27 1.6k
Eero Honkanen Finland 28 547 0.8× 189 0.4× 23 0.1× 562 1.7× 174 0.6× 108 2.4k
Helia Robert‐Ebadi Switzerland 24 605 0.8× 593 1.1× 56 0.2× 288 0.9× 43 0.2× 86 1.7k
Ryszard Grenda Poland 24 486 0.7× 634 1.2× 46 0.1× 328 1.0× 490 1.8× 120 2.3k
Shubha Allard United Kingdom 19 402 0.6× 118 0.2× 230 0.7× 123 0.4× 103 0.4× 29 2.5k
Wolfgang Korte Switzerland 23 346 0.5× 368 0.7× 93 0.3× 330 1.0× 153 0.6× 84 1.8k
Hüseyin Töz Türkiye 26 964 1.4× 637 1.2× 27 0.1× 425 1.3× 163 0.6× 145 3.1k
Charles Tacquard France 14 211 0.3× 128 0.2× 49 0.1× 218 0.7× 28 0.1× 52 2.3k
Aurélie Le Thuaut France 19 403 0.6× 81 0.2× 71 0.2× 356 1.1× 96 0.4× 68 1.2k
Chris Callaghan United Kingdom 28 1.1k 1.6× 288 0.5× 77 0.2× 279 0.8× 658 2.4× 104 2.4k
Rick W. Martin United States 28 540 0.8× 155 0.3× 1.4k 4.2× 456 1.4× 889 3.3× 79 2.6k

Countries citing papers authored by B. Higgins

Since Specialization
Citations

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

Fields of papers citing papers by B. Higgins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Higgins

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

All Works

20 of 20 papers shown
1.
Longcroft‐Wheaton, Gaius, Carole Fogg, Ann Dewey, et al.. (2018). ACETIC ACID GUIDED BIOPSIES VERSUS MAPPING BIOPSIES FOR BARRETT'S SURVEILLANCE: THE ABBA STUDY. Endoscopy. 1 indexed citations
3.
Drahota, Amy, Daniel L. Ward, Dia Soilemezi, et al.. (2013). Pilot cluster randomised controlled trial of flooring to reduce injuries from falls in wards for older people. Age and Ageing. 42(5). 633–640. 45 indexed citations
4.
Longcroft‐Wheaton, Gaius, et al.. (2011). The effect of high resolution endoscopy in the in vivo diagnosis of colonic polyps: Table 1. Gut. 60(Suppl 1). A47.1–A47.
5.
Brims, Fraser, AJ Chauhan, B. Higgins, & Janis K. Shute. (2009). Coagulation factors in the airways in moderate and severe asthma and the effect of inhaled steroids. Thorax. 64(12). 1037–1043. 61 indexed citations
6.
Venter, Carina, Syed Hasan Arshad, Jane Grundy, et al.. (2009). Time trends in the prevalence of peanut allergy: three cohorts of children from the same geographical location in the UK. Allergy. 65(1). 103–108. 186 indexed citations
8.
Dean, Taraneh, Carina Venter, B. Pereira, et al.. (2007). Government advice on peanut avoidance during pregnancy – is it followed correctly and what is the impact on sensitization?. Journal of Human Nutrition and Dietetics. 20(2). 95–99. 40 indexed citations
9.
Ethunandan, Madan, et al.. (2007). Primary oral leiomyosarcoma: a clinico-pathologic study and analysis of prognostic factors. International Journal of Oral and Maxillofacial Surgery. 36(5). 409–416. 35 indexed citations
10.
Rane, S. M., et al.. (2005). Models for the prediction of successful induction of labor based on pre-induction sonographic measurement of cervical length. The Journal of Maternal-Fetal & Neonatal Medicine. 17(5). 315–322. 60 indexed citations
11.
Rane, S. M., et al.. (2004). The value of ultrasound in the prediction of successful induction of labor. Ultrasound in Obstetrics and Gynecology. 24(5). 538–549. 132 indexed citations
12.
Higgins, B., et al.. (2003). Choice of insulins, pen devices and blood glucose meters: factors influencing decision making by DSNs in the UK. Practical Diabetes International. 20(7). 237–242. 4 indexed citations
13.
Rane, S. M., et al.. (2003). Pre‐induction sonographic measurement of cervical length in prolonged pregnancy: the effect of parity in the prediction of the need for Cesarean section. Ultrasound in Obstetrics and Gynecology. 22(1). 45–48. 53 indexed citations
14.
Rane, S. M., et al.. (2003). Pre‐induction sonographic measurement of cervical length in prolonged pregnancy: the effect of parity in the prediction of induction‐to‐delivery interval. Ultrasound in Obstetrics and Gynecology. 22(1). 40–44. 70 indexed citations
15.
Bickerton, Alex, et al.. (2003). Observational study of ACE inhibitor prescribing habits of diabetes physicians in the UK. Practical Diabetes International. 20(1). 21–24.
16.
Prytherch, David, et al.. (2003). Towards a national clinical minimum data set for general surgery. British journal of surgery. 90(10). 1300–1305. 38 indexed citations
17.
Rane, S. M., et al.. (2003). Preinduction Sonographic Measurement of Cervical Length in Prolonged Pregnancy: The Effect of Parity in the Prediction of Induction-to-Delivery Interval. Obstetrical & Gynecological Survey. 59(1). 17–19. 8 indexed citations
18.
Drysdale, Karen, et al.. (2002). First-trimester pregnancy scanning as a screening tool for high-risk and abnormal pregnancies in a district general hospital setting. Journal of Obstetrics and Gynaecology. 22(2). 159–165. 20 indexed citations
19.
Goldstein, Lawrence S.B., et al.. (1998). Central nervous system complications after lung transplantation.. PubMed. 17(2). 185–91. 44 indexed citations
20.
Millar, Julian, et al.. (1996). Early prediction of pre‐eclampsia by measurement of kallikrein and creatinine on a random urine sample. BJOG An International Journal of Obstetrics & Gynaecology. 103(5). 421–426. 50 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.

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