Dipika Deka

33 papers receiving 304 citations

Peers

Dipika Deka
Comparison fields: 5 of 62
  • Reproductive Medicine 89
  • Obstetrics and Gynecology 75
  • Hematology 52
  • Pediatrics, Perinatology and Child Health 81
  • Genetics 32
Replace Romuald Dębski with:
Romuald Dębski Poland
N. Yanai Israel
D. W. Bianchi United States
Y. C. Wong Singapore
M. Selinger United Kingdom
Ofer Markovitch Israel
Cerine Jeanty United States
Jesse D. Vrecenak United States
Fahad Al-Abdul Jabbar Saudi Arabia
M. Khare United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Dipika Deka

Since Specialization
Citations

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

Fields of papers citing papers by Dipika Deka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Idiopathic recurrent pregnancy loss: role of paternal factors; a pilot study.
201128
2 201525
3 201722
4 199621
5 201320
6 201820
7 201716
8 201816
9 199815
10 200213
11 201212
12 201610
13 201910
14 201510
15 20119
16 20128
17 20186
18 20166
19 20125
20
Prenatal diagnosis of haemoglobinopathies.
20025

About Dipika Deka

Dipika Deka is a scholar working on Hematology, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 37 papers that have together received 308 indexed citations. Recurring topics across this work include Blood groups and transfusion (7 papers), Parvovirus B19 Infection Studies (6 papers), Reproductive System and Pregnancy (6 papers), Endometriosis Research and Treatment (5 papers), Prenatal Screening and Diagnostics (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Autopsy Techniques and Outcomes (4 papers) and Reproductive Biology and Fertility (4 papers). The work is most often cited by research in Reproductive Medicine (89 citations), Obstetrics and Gynecology (75 citations), Hematology (52 citations), Pediatrics, Perinatology and Child Health (81 citations) and Genetics (32 citations). Dipika Deka has collaborated with scholars based in India. Frequent co-authors include Vatsla Dadhwal, Aparna Sharma, Rima Dada, K. Buckshee, Kishlay Kumar, Aparna Sharma, Monis Bilal Shamsi, Raju Sharma, Perumal Vanamail and Ramesh Agarwal. Their work appears in journals such as International Journal of Gynecology & Obstetrics, Journal of Lower Genital Tract Disease, Archives of Gynecology and Obstetrics, Birth Defects Research and The Indian Journal of Medical Research.

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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