Sunil K. Halder

3.3k citations
39 papers · 2.7k · h-index 27

Impact in

Papers in

Sunil K. Halder

39 papers receiving 2.6k citations

Peers

Sunil K. Halder
Comparison fields: 5 of 102
  • Obstetrics and Gynecology 850
  • Reproductive Medicine 834
  • Developmental Neuroscience 312
  • Anesthesiology and Pain Medicine 269
  • Critical Care and Intensive Care Medicine 240
Replace Masaaki Nagamatsu with:
Masaaki Nagamatsu Japan
Tamara Mirzapoiazova United States
M. Kusunoki Japan
Olivier Chabre France
Mark Dodson United States
Qinghong Zhang China
Junji Ishida Japan
Yen‐Yi Zhen Taiwan
Kanako Hosono Japan
Chiranjib Dasgupta United States
Sunil K. Halder relative to Masaaki Nagamatsu Japan Masaaki Nagamatsu's profile →
Citations per field
00.5×10×20×26.9×
Masaaki Nagamatsu · 1×
Citations per year

Countries citing papers authored by Sunil K. Halder

Since Specialization
Citations

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

Fields of papers citing papers by Sunil K. Halder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil K. Halder. 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 Sunil K. Halder. The network helps show where Sunil K. Halder may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009342
2 2005237
3 2009174
4 2010139
5 2011138
6 1999136
7 2012121
8 2009116
9 2005103
10 199891
11 201389
12 201584
13 201670
14 200667
15 201564
16 201664
17 201456
18 201450
19 201848
20 200248

About Sunil K. Halder

Sunil K. Halder is a scholar working on Molecular Biology, Obstetrics and Gynecology, Reproductive Medicine, Pathology and Forensic Medicine and Oncology, having authored 39 papers that have together received 2.7k indexed citations. Recurring topics across this work include Uterine Myomas and Treatments (14 papers), Endometriosis Research and Treatment (13 papers), TGF-β signaling in diseases (10 papers), Vitamin D Research Studies (5 papers), Hormonal Regulation and Hypertension (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Genetic factors in colorectal cancer (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Obstetrics and Gynecology (850 citations), Reproductive Medicine (834 citations), Developmental Neuroscience (312 citations), Anesthesiology and Pain Medicine (269 citations) and Critical Care and Intensive Care Medicine (240 citations). Sunil K. Halder has collaborated with scholars based in United States, Japan and Finland. Frequent co-authors include Ayman Al‐Hendy, Pran K. Datta, R. Daniel Beauchamp, Chakradhari Sharan, Michael P. Diamond, Hiroshi Takemori, Yasuki Nonaka, Bixiang Zhang, Mitsuhiro Okamoto and J. Shawn Goodwin. Their work appears in journals such as European Journal of Biochemistry, Anesthesiology, The Journal of Clinical Endocrinology & Metabolism, Neoplasia and Cancer 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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