Shiv Hiremath

34 papers receiving 579 citations

Peers

Shiv Hiremath
Comparison fields: 5 of 66
  • Endocrinology 120
  • Insect Science 185
  • Plant Science 284
  • Cellular and Molecular Neuroscience 96
  • Cell Biology 70
Replace Jae‐Kyoung Shim with:
Jae‐Kyoung Shim South Korea
Hannah Henderson Canada
A. Jaworski United States
Xiuling Cao China
Hajime Ohyanagi Japan
Benjamin Noël France
Peter Kosarev Germany
Xiang‐Sheng Chen China
Adrian Halme United States
Jorge Calderón Ecuador
Shiv Hiremath relative to Jae‐Kyoung Shim South Korea Jae‐Kyoung Shim's profile →
Citations per field
00.5×4.7×
Jae‐Kyoung Shim · 1×
Citations per year

Countries citing papers authored by Shiv Hiremath

Since Specialization
Citations

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

Fields of papers citing papers by Shiv Hiremath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199079
2 198960
3 199745
4 199945
5 200240
6 198840
7 201336
8 199234
9 200132
10 198526
11 199226
12 199724
13 199917
14 201215
15 199913
16 201112
17 198111
18 197610
19 201210
20 19816

About Shiv Hiremath

Shiv Hiremath is a scholar working on Plant Science, Molecular Biology, Endocrinology, Insect Science and Cell Biology, having authored 34 papers that have together received 619 indexed citations. Recurring topics across this work include Plant and Fungal Interactions Research (13 papers), Mycorrhizal Fungi and Plant Interactions (12 papers), Plant Pathogens and Fungal Diseases (7 papers), Plant Virus Research Studies (6 papers), Insect Resistance and Genetics (6 papers), Fungal Biology and Applications (5 papers), Prostate Cancer Treatment and Research (4 papers) and Forest Ecology and Biodiversity Studies (3 papers). The work is most often cited by research in Endocrinology (120 citations), Insect Science (185 citations), Plant Science (284 citations), Cellular and Molecular Neuroscience (96 citations) and Cell Biology (70 citations). Shiv Hiremath has collaborated with scholars based in United States, Russia and India. Frequent co-authors include Gopi K. Podila, Gareth Jones, Carolyn H. Keiffer, R E Rhoads, Maria Mańczak, Nicholas H. Brown, Karen J. Garner, Algimantas P. Valaitis, Leslie L. Domier and Wojciech Rychlik. Their work appears in journals such as Journal of Biological Chemistry, Insect Biochemistry and Molecular Biology, Mycologia, Journal of General Virology and Biochemical and Biophysical Research Communications.

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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