Pankaj Singhal

570 citations
33 papers · 425 · h-index 12

Impact in

Papers in

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

Pankaj Singhal

30 papers receiving 417 citations

Peers

Pankaj Singhal
Comparison fields: 5 of 74
  • Obstetrics and Gynecology 141
  • Reproductive Medicine 106
  • Immunology 63
  • Surgery 118
  • Pulmonary and Respiratory Medicine 76
Replace Francesco Padula with:
Francesco Padula Italy
L. Mettler Germany
Gautam Mehra United Kingdom
Jonathan Boone United States
Felix Neis Germany
Sinan Tan Türkiye
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Citations per field
00.5×4.2×
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Citations per year

Countries citing papers authored by Pankaj Singhal

Since Specialization
Citations

This map shows the geographic impact of Pankaj 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 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 Singhal more than expected).

Fields of papers citing papers by Pankaj Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200569
2 200947
3 201133
4 201429
5 200928
6 201727
7 201226
8 201317
9 201516
10 202012
11 201311
12 200611
13
Primary fallopian tube carcinoma: a retrospective clinicopathologic study.
200610
14
Effect of home-based pulmonary rehabilitation programme on disability in patients with chronic obstructive pulmonary disease.
200510
15 20019
16 20209
17
Cyclooxygenase 2 expression in serous tumors of the ovary.
20059
18 20149
19 20137
20 20207

About Pankaj Singhal

Pankaj Singhal is a scholar working on Surgery, Obstetrics and Gynecology, Reproductive Medicine, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 33 papers that have together received 425 indexed citations. Recurring topics across this work include Surgical Simulation and Training (8 papers), Endometrial and Cervical Cancer Treatments (7 papers), Uterine Myomas and Treatments (7 papers), Ovarian cancer diagnosis and treatment (6 papers), Anatomy and Medical Technology (5 papers), Augmented Reality Applications (4 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 (106 citations), Immunology (63 citations), Surgery (118 citations) and Pulmonary and Respiratory Medicine (76 citations). Pankaj Singhal has collaborated with scholars based in United States, India and Antigua and Barbuda. Frequent co-authors include Venkat Krovi, Shashikant Lele, Kunle Odunsi, Protul Shrikant, Deborah Driscoll, Marilyn Intengan, Amy Beck, Elizabeth A. Repasky, Shashikant Lele and Axel Mischo. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, Human Reproduction, Immunologic Research and Journal of Clinical Oncology.

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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