S. Gan‐Mor

880 citations
37 papers · 687 · h-index 17

Impact in

Papers in

S. Gan‐Mor

36 papers receiving 629 citations

Peers

S. Gan‐Mor
Comparison fields: 5 of 83
  • Insect Science 192
  • Ecology, Evolution, Behavior and Systematics 216
  • Plant Science 382
  • Analytical Chemistry 48
  • Genetics 98
Replace H C Sharma with:
H C Sharma India
Mustafa Coşkun Türkiye
LI Chao-hai China
Dieter Foqué Belgium
Wesley Clint Hoffmann United States
Zhiguo Li China
Taro Imamura Japan
Wancai Liu China
Xiaoping Hu China
Jan Willem Hofstee Netherlands
S. Gan‐Mor relative to H C Sharma India H C Sharma's profile →
Citations per field
00.5×2×4×6×8×9.6×
H C Sharma · 1×
Citations per year

Countries citing papers authored by S. Gan‐Mor

Since Specialization
Citations

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

Fields of papers citing papers by S. Gan‐Mor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Gan‐Mor. 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 S. Gan‐Mor. The network helps show where S. Gan‐Mor may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200084
2 200765
3 200360
4 199643
5 201435
6 201431
7
Relevance of Electrostatic Forces in Natural and Artificial Pollination
199529
8 200127
9 201625
10 200024
11 199623
12 200123
13 201020
14 201420
15 200219
16 200119
17 199917
18 199715
19 200014
20
Novel application of pollen to augment the predator Amblyseius swirskii on greenhouse sweet pepper.
200913

About S. Gan‐Mor

S. Gan‐Mor is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Insect Science, Mechanical Engineering and Molecular Biology, having authored 37 papers that have together received 687 indexed citations. Recurring topics across this work include Plant Surface Properties and Treatments (11 papers), Plant and animal studies (10 papers), Plant Reproductive Biology (9 papers), Tree Root and Stability Studies (6 papers), Insect and Pesticide Research (5 papers), Insect and Arachnid Ecology and Behavior (5 papers), Postharvest Quality and Shelf Life Management (5 papers) and Insect Pest Control Strategies (4 papers). The work is most often cited by research in Insect Science (192 citations), Ecology, Evolution, Behavior and Systematics (216 citations), Plant Science (382 citations), Analytical Chemistry (48 citations) and Genetics (98 citations). S. Gan‐Mor has collaborated with scholars based in Israel, Hungary and United Kingdom. Frequent co-authors include Dan Eisikowitch, Avital Bechar, Yiftach Vaknin, G. A. Matthews, Bruce L. Upchurch, Naftali Galili, ERIC PALEVSKY, Shira Gal, Amos Mizrach and Amir Degani. Their work appears in journals such as The Journal of Horticultural Science and Biotechnology, Biosystems Engineering, New Phytologist, Computers and Electronics in Agriculture and Postharvest Biology and Technology.

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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