A. J. Bone

720 total citations
8 papers, 546 citations indexed

About

A. J. Bone is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, A. J. Bone has authored 8 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Genetics and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in A. J. Bone's work include Pancreatic function and diabetes (7 papers), Diabetes and associated disorders (6 papers) and Diabetes Management and Research (5 papers). A. J. Bone is often cited by papers focused on Pancreatic function and diabetes (7 papers), Diabetes and associated disorders (6 papers) and Diabetes Management and Research (5 papers). A. J. Bone collaborates with scholars based in United Kingdom, Australia and India. A. J. Bone's co-authors include Sarah J. Richardson, Noel G. Morgan, A. K. Foulis, Abby Willcox, Pia Leete, Alan K. Foulis, G. A. Hitman, K. Hawrami, Viswanathan Mohan and T E Mandel and has published in prestigious journals such as Journal of Neurochemistry, Diabetologia and Journal of Autoimmunity.

In The Last Decade

A. J. Bone

8 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. J. Bone United Kingdom	7	425	321	218	119	93	8	546
Mahesh Anagandula Sweden	8	297 0.7×	174 0.5×	134 0.6×	79 0.7×	95 1.0×	8	376
Jutta E. Laiho Finland	10	314 0.7×	169 0.5×	146 0.7×	75 0.6×	127 1.4×	21	447
Sergei Nejentsev Finland	9	303 0.7×	191 0.6×	207 0.9×	134 1.1×	8 0.1×	10	407
L. Monetini Italy	9	150 0.4×	108 0.3×	69 0.3×	49 0.4×	15 0.2×	16	313
Cori Campbell United Kingdom	7	299 0.7×	228 0.7×	245 1.1×	53 0.4×	33 0.4×	18	445
Tetsuro Akashi Japan	8	99 0.2×	162 0.5×	69 0.3×	53 0.4×	46 0.5×	23	309
Sabina Mir United States	10	127 0.3×	78 0.2×	9 0.0×	47 0.4×	46 0.5×	16	276
Albane Simon France	9	207 0.5×	203 0.6×	182 0.8×	11 0.1×	46 0.5×	17	462
Terri Ning Canada	6	109 0.3×	73 0.2×	37 0.2×	234 2.0×	13 0.1×	9	365
William D. Rawlinson Australia	8	84 0.2×	61 0.2×	56 0.3×	23 0.2×	36 0.4×	9	203

Countries citing papers authored by A. J. Bone

Since Specialization

Citations

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

Fields of papers citing papers by A. J. Bone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. J. Bone. 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 A. J. Bone. The network helps show where A. J. Bone may publish in the future.

Co-authorship network of co-authors of A. J. Bone

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

All Works

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8 of 8 papers shown

1.

Richardson, Sarah J., Pia Leete, A. J. Bone, A. K. Foulis, & Noel G. Morgan. (2012). Expression of the enteroviral capsid protein VP1 in the islet cells of patients with type 1 diabetes is associated with induction of protein kinase R and downregulation of Mcl-1. Diabetologia. 56(1). 185–193. 109 indexed citations

2.

Willcox, Abby, Sarah J. Richardson, A. J. Bone, A. K. Foulis, & Noel G. Morgan. (2011). Immunohistochemical analysis of the relationship between islet cell proliferation and the production of the enteroviral capsid protein, VP1, in the islets of patients with recent-onset type 1 diabetes. Diabetologia. 54(9). 2417–2420. 39 indexed citations

3.

Willcox, Abby, Sarah J. Richardson, A. J. Bone, Alan K. Foulis, & Noel G. Morgan. (2010). Evidence of increased islet cell proliferation in patients with recent-onset type 1 diabetes. Diabetologia. 53(9). 2020–2028. 72 indexed citations

4.

Richardson, Sarah J., Abby Willcox, A. J. Bone, A. K. Foulis, & Noel G. Morgan. (2009). The prevalence of enteroviral capsid protein vp1 immunostaining in pancreatic islets in human type 1 diabetes. Diabetologia. 52(6). 1143–1151. 287 indexed citations

5.

Myers, Mark A., Sandra J. Feeney, T E Mandel, et al.. (1998). Antibodies to ICA512/IA-2 in Rodent Models of IDDM. Journal of Autoimmunity. 11(3). 265–272. 6 indexed citations

6.

Hawrami, K., Viswanathan Mohan, A. J. Bone, & G. A. Hitman. (1997). Analysis of Islet Regenerating (reg) Gene Polymorphisms in Fibrocalculous Pancreatic Diabetes. Pancreas. 14(2). 122–125. 20 indexed citations

7.

Mackey, Lauren Grace, et al.. (1996). Lack of Autoimmune Serological Reactions in Rodent Models of Insulin Dependent Diabetes Mellitus. Journal of Autoimmunity. 9(6). 705–711. 11 indexed citations

8.

Dawson, Joseph G. & A. J. Bone. (1963). THE EFFECT OF ALTERATIONS IN TISSUE K⁺ CONCENTRATION ON THE PRODUCTION OF 3‐HYDROXYBUTAN‐2‐ONE BY BRAIN SLICES. Journal of Neurochemistry. 10(7). 537–540. 2 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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