Fanny C.F. Ip

1.7k citations
47 papers · 1.4k · h-index 23

Impact in

Papers in

Fanny C.F. Ip

45 papers receiving 1.3k citations

Peers

Fanny C.F. Ip
Comparison fields: 5 of 101
  • Developmental Neuroscience 74
  • Cellular and Molecular Neuroscience 257
  • Aging 24
  • Pharmacology 110
  • Neurology 103
Replace Fahad R. Ali with:
Fahad R. Ali India
Yewei Sun China
Richard B. Parsons United Kingdom
Dirleise Colle Brazil
Ling‐Sun Jen United Kingdom
Elena Radi Italy
María‐Salud García‐Ayllón Spain
Masahiko Watabe Japan
Sravan Gopalkrishnashetty Sreenivasmurthy Hong Kong
Xiansi Zeng China
Fanny C.F. Ip relative to Fahad R. Ali India Fahad R. Ali's profile →
Citations per field
00.5×1.5×2.1×
Fahad R. Ali · 1×
Citations per year

Countries citing papers authored by Fanny C.F. Ip

Since Specialization
Citations

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

Fields of papers citing papers by Fanny C.F. Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fanny C.F. Ip. 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 Fanny C.F. Ip. The network helps show where Fanny C.F. Ip may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014173
2 2021130
3 201992
4 201472
5 200568
6 200161
7 200152
8 202341
9 200439
10 201138
11 201438
12 201538
13 202237
14 201032
15 201931
16 199730
17 201030
18 201130
19 201227
20 202127

About Fanny C.F. Ip

Fanny C.F. Ip is a scholar working on Physiology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology and Cancer Research, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Phytochemistry and Biological Activities (6 papers), Natural product bioactivities and synthesis (5 papers), NF-κB Signaling Pathways (4 papers), Chemical synthesis and alkaloids (4 papers), Genetic Associations and Epidemiology (4 papers), Nerve injury and regeneration (4 papers) and Phytochemistry and Bioactive Compounds (3 papers). The work is most often cited by research in Developmental Neuroscience (74 citations), Cellular and Molecular Neuroscience (257 citations), Aging (24 citations), Pharmacology (110 citations) and Neurology (103 citations). Fanny C.F. Ip has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Nancy Yuk-Yu Ip, Amy Kit Yu Fu, Janet Cheung, Wing-Yu Fu, Shuo Gu, Xuhui Huang, Yu Pong Ng, Guangmiao Fu, Elaine Y. L. Cheng and Kwok‐On Lai. Their work appears in journals such as Alzheimer s & Dementia, Neuroreport, ACS Chemical Neuroscience, Planta Medica and Molecular and Cellular Neuroscience.

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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