John Cobby

1.3k citations
40 papers · 1.0k · h-index 18

Impact in

Papers in

John Cobby

37 papers receiving 880 citations

Peers

John Cobby
Comparison fields: 5 of 123
  • Pharmaceutical Science 170
  • Agronomy and Crop Science 271
  • Statistics and Probability 94
  • Animal Science and Zoology 95
  • Forestry 33
Replace Janet A. Springer with:
Janet A. Springer United States
B. N. Gupta India
Jeanne L. Sebaugh United States
Nestor W. Flodin United States
Zhiping Wang China
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M. L. He China
Michael P. Dieter United States
Hongwei Chen China
R.D. McCarthy United States
John Cobby relative to Janet A. Springer United States Janet A. Springer's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Cobby

Since Specialization
Citations

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

Fields of papers citing papers by John Cobby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Cobby, 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 John Cobby Line = papers co-authored together John Cobby links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978146
2 1977103
3 197493
4 197672
5 198564
6 197452
7 198848
8 198242
9 198036
10 198435
11 198833
12 197432
13 198431
14 197728
15 197928
16 198728
17 197824
18 198523
19 201114
20 198114

About John Cobby

John Cobby is a scholar working on Pharmaceutical Science, Agronomy and Crop Science, Pathology and Forensic Medicine, Molecular Biology and Genetics, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (6 papers), Ruminant Nutrition and Digestive Physiology (6 papers), Advanced Drug Delivery Systems (6 papers), Genetic and phenotypic traits in livestock (4 papers), Alcohol Consumption and Health Effects (4 papers), Analytical Methods in Pharmaceuticals (4 papers), Blood Pressure and Hypertension Studies (3 papers) and Advanced Statistical Methods and Models (3 papers). The work is most often cited by research in Pharmaceutical Science (170 citations), Agronomy and Crop Science (271 citations), Statistics and Probability (94 citations), Animal Science and Zoology (95 citations) and Forestry (33 citations). John Cobby has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Michael Mayersohn, Y. L. P. Le Du, Gilbert Ryle, M. S. Ridout, C. E. POWELL, J. R. Ashford, J. E. SHEEHY, R. V. Large, Michael C. Makoid and H. Rosenberg. Their work appears in journals such as Journal of Pharmaceutical Sciences, Annals of Botany, The Journal of Agricultural Science, American Journal of Health-System Pharmacy and Grass and Forage Science.

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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