Sisi Ma

2.2k citations
87 papers · 1.4k · h-index 22

Impact in

Papers in

Sisi Ma

80 papers receiving 1.3k citations

Peers

Sisi Ma
Comparison fields: 5 of 135
  • Behavioral Neuroscience 78
  • Cellular and Molecular Neuroscience 236
  • Health Informatics 18
  • Drug Discovery 2
  • Cognitive Neuroscience 214
Replace Javier Quintero with:
Javier Quintero Spain
I. Alex Rubino Italy
Guia Guffanti United States
Kai K. Kummer Austria
Wei Yuan China
Adam Taylor United Kingdom
Carla Toro United Kingdom
Lisa Squassante Italy
Hui Xie China
Sunil V. Kalmady India
Sisi Ma relative to Javier Quintero Spain Javier Quintero's profile →
Citations per field
00.5×4.2×
Javier Quintero · 1×
Citations per year

Countries citing papers authored by Sisi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Sisi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017109
2 201681
3 201075
4 201769
5 201755
6 201752
7 201247
8 202046
9 201338
10 202036
11 201735
12 202234
13 202133
14 201033
15 201429
16 200926
17 200926
18 201724
19 202124
20 201324

About Sisi Ma

Sisi Ma is a scholar working on Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Clinical Psychology and Artificial Intelligence, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (9 papers), Gene expression and cancer classification (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Schizophrenia research and treatment (6 papers), Neural dynamics and brain function (6 papers), Neuroendocrine regulation and behavior (5 papers), Ovarian cancer diagnosis and treatment (5 papers) and Posttraumatic Stress Disorder Research (5 papers). The work is most often cited by research in Behavioral Neuroscience (78 citations), Cellular and Molecular Neuroscience (236 citations), Health Informatics (18 citations), Drug Discovery (2 citations) and Cognitive Neuroscience (214 citations). Sisi Ma has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Mark O. West, David J. Barker, David H. Root, Alexander Statnikov, Constantin Aliferis, Anthony P. Pawlak, Isaac R. Galatzer‐Levy, Arieh Y. Shalev, Anthony T. Fabbricatore and Rachel Yehuda. Their work appears in journals such as Scientific Reports, Journal of Visualized Experiments, Behavioural Brain Research, Frontiers in Psychiatry and PLoS ONE.

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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