J. Robic

652 citations
8 papers · 363 indexed · h-index 7

Impact in

    • Diabetes Management and Research
    • Diabetes Treatment and Management
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients
  • Genetics top 10%
    • Diabetes and associated disorders
    • Yersinia bacterium, plague, ectoparasites research

Papers in

J. Robic

8 papers receiving 344 citations

Peers

J. Robic
Comparison fields: 5 of 64
  • Endocrinology, Diabetes and Metabolism 290
  • Genetics 214
  • Surgery 217
  • Health Information Management 6
  • Parasitology 6
Replace Pauline Schaepelynck with:
Pauline Schaepelynck France
Tomas C. Walker United States
Lidia Groele Poland
Magdalena Szopa Poland
Christopher Moudiotis United Kingdom
Larry A. Neal United States
Camille André United States
Rudolf Chlup Czechia
S. Bodé Denmark
J. Robic relative to Pauline Schaepelynck France Pauline Schaepelynck's profile →
Citations per field
00.5×1.5×2.0×
Pauline Schaepelynck · 1×
Citations per year

Countries citing papers authored by J. Robic

Since Specialization
Citations

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

Fields of papers citing papers by J. Robic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Robic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Robic Line = papers co-authored together J. Robic links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2017119
2 201870
3 195349
4 201946
5 201734
6 202126
7 202018
8 20181

About J. Robic

J. Robic is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, General Health Professions and Clinical Biochemistry, having authored 8 papers that have together received 363 indexed citations. Recurring topics across this work include Diabetes Management and Research (7 papers), Diabetes and associated disorders (6 papers), Pancreatic function and diabetes (5 papers), Yersinia bacterium, plague, ectoparasites research (1 paper), Diabetes Treatment and Management (1 paper), Vector-borne infectious diseases (1 paper), Bacterial Identification and Susceptibility Testing (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (290 citations), Genetics (214 citations), Surgery (217 citations), Health Information Management (6 citations) and Parasitology (6 citations). J. Robic has collaborated with scholars based in United States. Frequent co-authors include Marc D. Breton, Boris Kovatchev, Daniel R. Cherñavvsky, Mark D. DeBoer, Gregory P. Forlenza, R. Paul Wadwa, Laurel H. Messer, David M. Maahs, Christian Wakeman and Stacey M. Anderson. Their work appears in journals such as Diabetes Technology & Therapeutics, Diabetes Care, The American Journal of Medicine and Diabetes.

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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