Paris Roach

1.4k total citations
30 papers, 672 citations indexed

About

Paris Roach is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Paris Roach has authored 30 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Surgery and 8 papers in Molecular Biology. Recurrent topics in Paris Roach's work include Diabetes Management and Research (17 papers), Diabetes Treatment and Management (14 papers) and Pancreatic function and diabetes (8 papers). Paris Roach is often cited by papers focused on Diabetes Management and Research (17 papers), Diabetes Treatment and Management (14 papers) and Pancreatic function and diabetes (8 papers). Paris Roach collaborates with scholars based in United States, Germany and Australia. Paris Roach's co-authors include Vipin Arora, Yue Li, Melissa K. Cavaghan, Rocco L. Brunelle, Phillip Görden, James R. Woodworth, Bin Sun, Michael Trautmann, James H. Anderson and Simeon I. Taylor and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Paris Roach

27 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paris Roach United States 16 526 254 184 122 54 30 672
Plamen Kozlovski United States 14 551 1.0× 205 0.8× 189 1.0× 53 0.4× 34 0.6× 18 639
Jackie Bryant United Kingdom 11 134 0.3× 87 0.3× 121 0.7× 105 0.9× 15 0.3× 15 509
Chang Yu Pan China 9 315 0.6× 94 0.4× 123 0.7× 26 0.2× 60 1.1× 12 375
Sergio Di Molfetta Italy 11 241 0.5× 110 0.4× 37 0.2× 89 0.7× 52 1.0× 38 371
Andrew Drexler United States 10 225 0.4× 59 0.2× 42 0.2× 71 0.6× 30 0.6× 20 430
Samantha Greenberg United States 11 82 0.2× 109 0.4× 75 0.4× 117 1.0× 37 0.7× 49 432
Sudipta Bhattacharya United States 7 393 0.7× 132 0.5× 168 0.9× 24 0.2× 38 0.7× 12 473
Soumik Goswami India 10 149 0.3× 56 0.2× 105 0.6× 50 0.4× 61 1.1× 35 380
Ella Ekholm Sweden 9 345 0.7× 219 0.9× 208 1.1× 20 0.2× 43 0.8× 14 467
N Iqbal United States 10 216 0.4× 143 0.6× 104 0.6× 62 0.5× 99 1.8× 23 441

Countries citing papers authored by Paris Roach

Since Specialization
Citations

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

Fields of papers citing papers by Paris Roach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paris Roach

This figure shows the co-authorship network connecting the top 25 collaborators of Paris Roach. A scholar is included among the top collaborators of Paris Roach 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 Paris Roach. Paris Roach 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.
Cavaghan, Melissa K., et al.. (2009). Exenatide added to insulin therapy: A retrospective review of clinical practice over two years in an academic endocrinology outpatient setting. Clinical Therapeutics. 31(7). 1511–1523. 86 indexed citations
2.
Roach, Paris. (2008). New Insulin Analogues and Routes of Delivery. Clinical Pharmacokinetics. 47(9). 595–610. 22 indexed citations
3.
Roach, Paris & James Malone. (2006). Comparison of insulin lispro mixture 25/75 with insulin glargine during a 24‐h standardized test‐meal period in patients with Type 2 diabetes. Diabetic Medicine. 23(7). 743–749. 16 indexed citations
4.
Roach, Paris & David G. Marrero. (2005). A critical dialogue: communicating with type 2 diabetes patients about cardiovascular risk. Vascular Health and Risk Management. 1(4). 301–307. 10 indexed citations
5.
Roach, Paris. (2004). Better systems, not guidelines, for glucose monitoring. BMJ. 329(7479). E332–E332. 2 indexed citations
6.
Roach, Paris, et al.. (2003). Humalog ® Mix50™ before carbohydrate‐rich meals in type 2 diabetes mellitus. Diabetes Obesity and Metabolism. 5(5). 311–316. 20 indexed citations
7.
Roach, Paris & James R. Woodworth. (2002). Clinical Pharmacokinetics and Pharmacodynamics of Insulin Lispro Mixtures. Clinical Pharmacokinetics. 41(13). 1043–1057. 34 indexed citations
8.
Roach, Paris, et al.. (2001). IMPROVED GLYCAEMIC CONTROL WITH THE USE OF SELF‐PREPARED MIXTURES OF INSULIN LISPRO AND INSULIN LISPRO PROTAMINE SUSPENSION IN PATIENTS WITH TYPES 1 AND 2 DIABETES. International Journal of Clinical Practice. 55(3). 177–182. 22 indexed citations
9.
Bernard, Elena Aida, et al.. (2001). Moderate T1-201 Chloride Uptake in Cerebral Infarction. Clinical Nuclear Medicine. 26(8). 730–731. 3 indexed citations
10.
Reviriego, Jesús, Matthias Herz, & Paris Roach. (2000). Humalog® Mix25™ twice daily improves glycemic control compared to NPH twice daily in patients with type 2 diabetes. Diabetes Research and Clinical Practice. 50. 44–44. 2 indexed citations
11.
Roach, Paris, et al.. (2000). Improved glucose control following administration of a 75% insulin lispro/25% NPL mixture in patients with type 1 diabetes. Diabetes Research and Clinical Practice. 50. 220–221. 1 indexed citations
12.
Roach, Paris, Michael Trautmann, Vipin Arora, Bin Sun, & James H. Anderson. (1999). Improved postprandial blood glucose control and reduced nocturnal hypoglycemia during treatment with two novel insulin lispro-protamine formulations, insulin lispro Mix25 and insulin lispro Mix50. Clinical Therapeutics. 21(3). 523–534. 70 indexed citations
13.
Radziuk, J., Susan Pye, Brenda Bradley, et al.. (1998). Basal activity profiles of NPH and [N ε -palmitoyl Lys (B29)] human insulins in subjects with IDDM. Diabetologia. 41(1). 116–120. 20 indexed citations
14.
Avila, Nilo A., et al.. (1998). Sonography of gallbladder abnormalities in acromegaly patients following octreotide and ursodiol therapy: Incidence and time course. Journal of Clinical Ultrasound. 26(6). 289–294. 10 indexed citations
15.
Heise, Tim, et al.. (1998). Time-Action Profiles of Novel Premixed Preparations of Insulin Lispro and NPL Insulin. Diabetes Care. 21(5). 800–803. 77 indexed citations
16.
Yue, Lilly Q. & Paris Roach. (1998). A note on the sample size determination in two-period repeated measurements crossover design with application to clinical trials. Journal of Biopharmaceutical Statistics. 8(4). 577–584. 4 indexed citations
17.
18.
Taouis, Mohammed, et al.. (1994). Structural basis by which a recessive mutation in the alpha-subunit of the insulin receptor affects insulin binding.. Journal of Biological Chemistry. 269(21). 14912–14918. 21 indexed citations
19.
Roach, Paris, Yehiel Zick, Pietro Formisano, et al.. (1994). A Novel Human Insulin Receptor Gene Mutation Uniquely Inhibits Insulin Binding Without Impairing Posttranslational Processing. Diabetes. 43(9). 1096–1102. 40 indexed citations
20.
Eastman, Richard C., et al.. (1992). A prospective examination of octreotide‐induced gall‐bladder changes in acromegaly. Clinical Endocrinology. 36(3). 265–269. 13 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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