Dipika Deka

33 papers receiving 329 citations

Peers

Dipika Deka
Comparison fields: 5 of 61
  • Reproductive Medicine 75
  • Obstetrics and Gynecology 53
  • Hematology 51
  • Pediatrics, Perinatology and Child Health 69
  • Genetics 26
Replace N. Yanai with:
N. Yanai Israel
Y. C. Wong Singapore
K Hertwig Germany
Jasvinder Kalra India
D Kassanos Greece
Doerte W. Luedders Germany
Sandra Marchese United States
G Ghirardini Italy
Khalid Awartani Saudi Arabia
Jennifer B. Gilner United States
Dipika Deka relative to N. Yanai Israel N. Yanai's profile →
Citations per field
00.5×1.5×2.4×
N. Yanai · 1×
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 36 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.
201130
2 201527
3 199622
4 201722
5 201721
6 201821
7 201320
8 201819
9 199817
10 200215
11 201613
12 201512
13 201212
14 201910
15 201110
16 20128
17 20186
18 20166
19 20195
20 20155

About Dipika Deka

Dipika Deka is a scholar working on Hematology, Pediatrics, Perinatology and Child Health, Reproductive Medicine, Genetics and Public Health, Environmental and Occupational Health, having authored 36 papers that have together received 336 indexed citations. Recurring topics across this work include Blood groups and transfusion (7 papers), Autopsy Techniques and Outcomes (4 papers), Reproductive System and Pregnancy (4 papers), Endometriosis Research and Treatment (3 papers), Prenatal Screening and Diagnostics (3 papers), Reproductive Biology and Fertility (3 papers), Mesenchymal stem cell research (3 papers) and Parvovirus B19 Infection Studies (2 papers). The work is most often cited by research in Reproductive Medicine (75 citations), Obstetrics and Gynecology (53 citations), Hematology (51 citations), Pediatrics, Perinatology and Child Health (69 citations) and Genetics (26 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, Perumal Vanamail, Neena Malhotra, Monis Bilal Shamsi and Raju Sharma. Their work appears in journals such as International Journal of Gynecology & Obstetrics, Andrologia, Journal of Lower Genital Tract Disease, Ultrasound in Obstetrics and Gynecology and Archives of Gynecology and Obstetrics.

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