Khaled Machaca

3.6k citations
100 papers · 2.9k · h-index 32

Impact in

    • Ion Channels and Receptors
  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms

Papers in

Khaled Machaca

96 papers receiving 2.8k citations

Peers

Khaled Machaca
Comparison fields: 5 of 109
  • Sensory Systems 806
  • Aging 205
  • Reproductive Medicine 332
  • Physiology 162
  • Cellular and Molecular Neuroscience 568
Replace Jeremy T. Smyth with:
Jeremy T. Smyth United States
Xinjiang Cai United States
Bjørn K. Drøbak United Kingdom
Hans‐Gottfried Genieser Germany
R.F. Irvine United Kingdom
Yoram Oron Israel
Dong Wook Shin South Korea
Federica Poletti Italy
Toshiaki Imagawa Japan
Martin Best‐Belpomme France
Khaled Machaca relative to Jeremy T. Smyth United States Jeremy T. Smyth's profile →
Citations per field
00.5×4.7×
Jeremy T. Smyth · 1×
Citations per year

Countries citing papers authored by Khaled Machaca

Since Specialization
Citations

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

Fields of papers citing papers by Khaled Machaca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005284
2 2013117
3 2009109
4 2010108
5 201494
6 200281
7 200781
8 201076
9 200071
10 199660
11 201457
12 200554
13 201351
14 201750
15 200450
16 200749
17 200449
18 200247
19 201147
20 199843

About Khaled Machaca

Khaled Machaca is a scholar working on Molecular Biology, Sensory Systems, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health and Plant Science, having authored 100 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ion Channels and Receptors (40 papers), Ion channel regulation and function (32 papers), Reproductive Biology and Fertility (21 papers), Neurobiology and Insect Physiology Research (15 papers), Plant Stress Responses and Tolerance (10 papers), Sperm and Testicular Function (9 papers), Genetics, Aging, and Longevity in Model Organisms (9 papers) and Microtubule and mitosis dynamics (6 papers). The work is most often cited by research in Sensory Systems (806 citations), Aging (205 citations), Reproductive Medicine (332 citations), Physiology (162 citations) and Cellular and Molecular Neuroscience (568 citations). Khaled Machaca has collaborated with scholars based in Qatar, United States and United Kingdom. Frequent co-authors include Shirley Haun, Raphaël Courjaret, Lu Sun, H. Criss Hartzell, Lu Sun, Marie Chow, Courtney Wilkins, Michael A. Whitt, Fang Yu and Fang Yu. Their work appears in journals such as Cell Calcium, Journal of Biological Chemistry, Journal of Cell Science, Developmental Biology and Journal of Cellular Physiology.

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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