James Smart

436 total citations
10 papers, 230 citations indexed

About

James Smart is a scholar working on Surgery, Oncology and Molecular Biology. According to data from OpenAlex, James Smart has authored 10 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in James Smart's work include Stress Responses and Cortisol (1 paper), Virus-based gene therapy research (1 paper) and Radiopharmaceutical Chemistry and Applications (1 paper). James Smart is often cited by papers focused on Stress Responses and Cortisol (1 paper), Virus-based gene therapy research (1 paper) and Radiopharmaceutical Chemistry and Applications (1 paper). James Smart collaborates with scholars based in United Kingdom, Egypt and Australia. James Smart's co-authors include K. C. Dewbury, Rajnikant Mehta, Lawrence Burgess, Edurne Arriola, Matthew Wheater, Radhika Krishnan, Christian H. Ottensmeier, James Blackburn, Brigitta Brandner and Fiona Pepper and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Scientific Reports.

In The Last Decade

James Smart

9 papers receiving 221 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Smart United Kingdom	7	67	62	51	47	37	10	230
Zhiyi Fan China	10	99 1.5×	82 1.3×	33 0.6×	20 0.4×	107 2.9×	28	299
Irini Youssef United States	11	79 1.2×	53 0.9×	47 0.9×	37 0.8×	72 1.9×	35	315
Hideyuki Maeda Japan	10	149 2.2×	19 0.3×	21 0.4×	27 0.6×	91 2.5×	42	340
F Rouhart France	8	135 2.0×	43 0.7×	60 1.2×	34 0.7×	27 0.7×	25	290
É. Viel France	13	32 0.5×	96 1.5×	48 0.9×	20 0.4×	167 4.5×	55	427
Daniel Ebrahimi‐Fakhari Germany	10	105 1.6×	82 1.3×	50 1.0×	14 0.3×	43 1.2×	25	391
Yonggui Ge China	8	37 0.6×	23 0.4×	158 3.1×	45 1.0×	44 1.2×	22	295
Jérémie Barraud France	10	21 0.3×	37 0.6×	40 0.8×	28 0.6×	40 1.1×	17	276
Cristina Florescu Romania	9	41 0.6×	31 0.5×	9 0.2×	23 0.5×	39 1.1×	42	259
Hongliang Wu China	10	42 0.6×	38 0.6×	30 0.6×	16 0.3×	48 1.3×	25	263

Countries citing papers authored by James Smart

Since Specialization

Citations

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

Fields of papers citing papers by James Smart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Smart

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

All Works

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10 of 10 papers shown

1.

Gao, Dingshan, et al.. (2024). Regionally distinct GFAP promoter expression plays a role in off-target neuron expression following AAV5 transduction. Scientific Reports. 14(1). 31583–31583. 3 indexed citations

2.

Sakr, Mahmoud, Ayman Nabawi, Tarek Abdel‐Aziz, et al.. (2020). Influence of common clinical variables on intraoperative parathyroid hormone monitoring during surgery for primary hyperparathyroidism. Journal of Endocrinological Investigation. 43(9). 1205–1212. 7 indexed citations

3.

King, Alexander, et al.. (2015). An imaging review of extramedullary myeloma. Cancer Imaging. 15(S1).

4.

Abdel‐Aziz, Tarek, Francesco Paolo Prete, Gerard S. Conway, et al.. (2015). Phaeochromocytomas and Paragangliomas: A difference in disease behaviour and clinical outcomes. Journal of Surgical Oncology. 112(5). 486–491. 17 indexed citations

5.

Arriola, Edurne, et al.. (2015). Immunosuppression for ipilimumab-related toxicity can cause pneumocystis pneumonia but spare antitumor immune control. OncoImmunology. 4(10). e1040218–e1040218. 39 indexed citations

6.

Ellis, Sarah, Matthew Wheater, Angelica Cazaly, et al.. (2012). Biomarker for benefit from ipilimumab: Correlation of breadth of humoral tumor-antigen-specific immunity with outcome.. Journal of Clinical Oncology. 30(15_suppl). 8566–8566. 2 indexed citations

7.

Illidge, Tim, Mike Bayne, Nicholas Brown, et al.. (2008). Phase 1/2 study of fractionated 131I-rituximab in low-grade B-cell lymphoma: the effect of prior rituximab dosing and tumor burden on subsequent radioimmunotherapy. Blood. 113(7). 1412–1421. 61 indexed citations

8.

Smart, James, et al.. (2005). Biopsy of the prostate guided by transrectal ultrasound: relation between warfarin use and incidence of bleeding complications. Clinical Radiology. 60(4). 459–463. 54 indexed citations

9.

Morgan, Celia J. A., Susan L. Rossell, Fiona Pepper, et al.. (2005). Semantic Priming after Ketamine Acutely in Healthy Volunteers and Following Chronic Self-Administration in Substance Users. Biological Psychiatry. 59(3). 265–272. 39 indexed citations

10.

Smart, James. (1953). Intra-thoracic and intra-bronchial lipomata.. PubMed. 47(1). 26–31. 8 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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