Debasish Halder

27 papers receiving 334 citations

Peers

Debasish Halder
Comparison fields: 5 of 69
  • Developmental Neuroscience 18
  • Pediatrics, Perinatology and Child Health 67
  • Cancer Research 43
  • Molecular Biology 185
  • Cellular and Molecular Neuroscience 43
Replace Lili Fan with:
Lili Fan China
Honey B. Golden United States
Takuro Kobori Japan
Zeen Zhu China
Melinda Zana Hungary
Chenxi Feng China
Biao Chen China
Leigh Campbell United States
Noora Shahbeck Qatar
Debasish Halder relative to Lili Fan China Lili Fan's profile →
Citations per field
00.5×2.5×
Lili Fan · 1×
Citations per year

Countries citing papers authored by Debasish Halder

Since Specialization
Citations

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

Fields of papers citing papers by Debasish Halder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201031
2 201730
3 201929
4 201728
5 201425
6 201723
7 201722
8 201917
9 201515
10 201715
11 201313
12 201513
13 202212
14 20218
15 20138
16 20106
17 20156
18 20226
19 20155
20 20215

About Debasish Halder

Debasish Halder is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Cancer Research and Epidemiology, having authored 29 papers that have together received 334 indexed citations. Recurring topics across this work include Prenatal Substance Exposure Effects (6 papers), Epigenetics and DNA Methylation (6 papers), Birth, Development, and Health (6 papers), Pluripotent Stem Cells Research (5 papers), Autophagy in Disease and Therapy (3 papers), Cancer-related molecular mechanisms research (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (18 citations), Pediatrics, Perinatology and Child Health (67 citations), Cancer Research (43 citations), Molecular Biology (185 citations) and Cellular and Molecular Neuroscience (43 citations). Debasish Halder has collaborated with scholars based in South Korea, Bangladesh and India. Frequent co-authors include Young Gyu Chai, Kyoung Hwa Jung, Injae Shin, Injae Shin, Debojyoti De, Kyeong Kyu Kim, Soo Young Jun, Nam-Soon Kim, Jin‐Hong Park and W. Namkung. Their work appears in journals such as Scientific Reports, Gene, Molecular BioSystems, Molecular Neurobiology and BioChip Journal.

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.

Explore authors with similar magnitude of impact