Sukhbir S. Singh

7.6k citations
170 papers · 4.0k indexed · 3 hit papers · h-index 31

Sukhbir S. Singh

157 papers receiving 3.9k citations

Hit Papers

Strengths and limitations of diagnostic tools for...952019202620212023100200300400

Peers

Sukhbir S. Singh
Comparison fields: 5 of 134
  • Reproductive Medicine 2.9k
  • Obstetrics and Gynecology 2.6k
  • Immunology 761
  • Public Health, Environmental and Occupational Health 847
  • Rheumatology 223
Replace Magdy P. Milad with:
Magdy P. Milad United States
Gaspare Cucinella Italy
Reynir Tómas Geirsson Iceland
Sean Duffy United Kingdom
Giovanni Grandi Italy
Theodoor E. Nieboer Netherlands
Ray Garry United Kingdom
Annabelle Chan Australia
Sari Kives Canada
Jiabi Qin China
Sukhbir S. Singh relative to Magdy P. Milad United States Magdy P. Milad's profile →
Citations per field
00.5×3.5×
Magdy P. Milad · 1×
Citations per year

Countries citing papers authored by Sukhbir S. Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sukhbir S. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sukhbir S. Singh. 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 Sukhbir S. Singh. The network helps show where Sukhbir S. Singh may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20232
3 20237
4 20232
5
Strengths and limitations of diagnostic tools for endometriosis and relevance in diagnostic test accuracy researchbreakdown →
202295
6 20222
7 202148
8
Impact of Endometriosis on Life-Course Potential: A Narrative Reviewbreakdown →
2021123
9 20212
10 20211
11 202017
12 20201
13 201944
14 201911
15 20188
16 201713
17 201746
18 20109
19 201040
20 20071

About Sukhbir S. Singh

Sukhbir S. Singh is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Emergency Medical Services, having authored 170 papers that have together received 4.0k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (86 papers), Uterine Myomas and Treatments (80 papers), Gynecological conditions and treatments (48 papers), Surgical Simulation and Training (16 papers), Maternal and fetal healthcare (15 papers), Cardiac, Anesthesia and Surgical Outcomes (13 papers), Intestinal and Peritoneal Adhesions (11 papers) and Endometrial and Cervical Cancer Treatments (11 papers). The work is most often cited by research in Reproductive Medicine (2.9k citations), Obstetrics and Gynecology (2.6k citations) and Immunology (761 citations). Sukhbir S. Singh has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Nicholas Leyland, Olga Bougie, Stacey A. Missmer, Chandrakant Tayade, Soo Hyun Ahn, Hugh S. Taylor, Sanjay K. Agarwal, Marc R. Laufer, Charles Chapron and William Gattrell. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology 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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