Pankaj Kumar Singhal

583 citations
34 papers · 455 · h-index 11

Impact in

Papers in

    • Uterine Myomas and Treatments 7
    • Endometrial and Cervical Cancer Treatments 5
    • Pregnancy and preeclampsia studies 2
    • Surgical Simulation and Training 8

Pankaj Kumar Singhal

30 papers receiving 441 citations

Peers

Pankaj Kumar Singhal
Comparison fields: 5 of 71
  • Obstetrics and Gynecology 141
  • Reproductive Medicine 68
  • Immunology 57
  • Surgery 109
  • Gastroenterology 13
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Citations per field
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Citations per year

Countries citing papers authored by Pankaj Kumar Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj Kumar Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pankaj Kumar Singhal. 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 Pankaj Kumar Singhal. The network helps show where Pankaj Kumar Singhal may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200575
2 200948
3 201136
4 201433
5 201730
6 200928
7 201226
8 201318
9 201517
10 202015
11
Primary fallopian tube carcinoma: a retrospective clinicopathologic study.
200612
12 200611
13 202011
14 201311
15 200110
16
Gastroesophageal reflux disease in bronchial asthma and the response to omeprazole.
20059
17
Cyclooxygenase 2 expression in serous tumors of the ovary.
20059
18 20149
19
Effect of home-based pulmonary rehabilitation programme on disability in patients with chronic obstructive pulmonary disease.
20059
20 20127

About Pankaj Kumar Singhal

Pankaj Kumar Singhal is a scholar working on Obstetrics and Gynecology, Surgery, Computer Vision and Pattern Recognition, Pharmacology and Reproductive Medicine, having authored 34 papers that have together received 455 indexed citations. Recurring topics across this work include Surgical Simulation and Training (8 papers), Uterine Myomas and Treatments (7 papers), Endometrial and Cervical Cancer Treatments (5 papers), Anatomy and Medical Technology (5 papers), Augmented Reality Applications (4 papers), Ovarian cancer diagnosis and treatment (2 papers), Genetic factors in colorectal cancer (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (141 citations), Reproductive Medicine (68 citations), Immunology (57 citations), Surgery (109 citations) and Gastroenterology (13 citations). Pankaj Kumar Singhal has collaborated with scholars based in United States, India and France. Frequent co-authors include Shashikant Lele, Venkat Krovi, Kunle O. Odunsi, Protul A. Shrikant, Deborah Driscoll, Amy F. Beck, Marilyn Intengan, Elizabeth A. Repasky, Cheryl Eppolito and Joshua P. Kesterson. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, Digestive Surgery, Journal of the National Comprehensive Cancer Network and IEEE Design and Test.

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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