Niharika Sinha

38 papers receiving 1.7k citations

Niharika Sinha's Hit Papers

Autophagy and apoptosis: where do they meet? 2014 · 490 citations
4900+4+8Years since publication100200300400

Peers

Niharika Sinha
Comparison fields: 5 of 132
  • Geriatrics and Gerontology 64
  • Epidemiology 613
  • Cancer Research 255
  • Physiology 76
  • Biotechnology 108
Replace Durgesh Nandini Das with:
Durgesh Nandini Das India
Prashanta Kumar Panda India
Debasna Pritimanjari Panigrahi India
Katarzyna Piwocka Poland
Junli Liu China
Kewal Kumar Mahapatra India
Dariusz Pytel United States
Ling Xu China
Niharika Sinha relative to Durgesh Nandini Das India Durgesh Nandini Das's profile →
Citations per field
00.5×1.5×
Durgesh Nandini Das · 1×
Citations per year

Countries citing papers authored by Niharika Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Niharika Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Autophagy and apoptosis: where do they meet?
Hit paper breakdown →
2014490
2 2013183
3 2015112
4 2017100
5 201383
6 201761
7 201460
8 201656
9 201448
10 201346
11 201635
12 201532
13 201731
14 201630
15 201627
16 201827
17 201626
18 202226
19 202025
20 202122

About Niharika Sinha

Niharika Sinha is a scholar working on Molecular Biology, Epidemiology, Immunology, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (9 papers), Toxin Mechanisms and Immunotoxins (6 papers), Epigenetics and DNA Methylation (5 papers), Reproductive Biology and Fertility (5 papers), Transgenic Plants and Applications (4 papers), Birth, Development, and Health (4 papers), Sleep and Wakefulness Research (3 papers) and Ovarian function and disorders (3 papers). The work is most often cited by research in Geriatrics and Gerontology (64 citations), Epidemiology (613 citations), Cancer Research (255 citations), Physiology (76 citations) and Biotechnology (108 citations). Niharika Sinha has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Prashanta Kumar Panda, Sujit K. Bhutia, Subhadip Mukhopadhyay, Durgesh Nandini Das, Prajna Paramita Naik, Tapas K. Maiti, Aritro Sen, Birendra Behera, Devanand Sarkar and Paul B. Fisher. Their work appears in journals such as Endocrinology, Molecular Carcinogenesis, Free Radical Biology and Medicine, Oral Oncology and Environmental Toxicology and Pharmacology.

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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