S. K. Singla

133 papers receiving 1.7k citations

Peers

S. K. Singla
Comparison fields: 5 of 68
  • Reproductive Medicine 464
  • Public Health, Environmental and Occupational Health 1.2k
  • Agronomy and Crop Science 321
  • Genetics 774
  • Molecular Biology 935
Replace D.K. Berg with:
D.K. Berg New Zealand
R. S. Manik India
Doris Herrmann Germany
Roberto Duchi Italy
Rodney J. Ashman Australia
P. Palta India
V. Maillo Spain
Hendrik Wenigerkind Germany
Misa Hosoe Japan
Katrien Smits Belgium
S. K. Singla relative to D.K. Berg New Zealand D.K. Berg's profile →
Citations per field
00.5×3.4×
D.K. Berg · 1×
Citations per year

Countries citing papers authored by S. K. Singla

Since Specialization
Citations

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

Fields of papers citing papers by S. K. Singla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199889
2 199460
3 200657
4 201253
5 200853
6 200051
7 201450
8 199447
9 200043
10 201242
11 201142
12 201141
13 200940
14 201238
15 200332
16 201431
17 201531
18 201229
19 201729
20 199228

About S. K. Singla

S. K. Singla is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Genetics, Agronomy and Crop Science and Reproductive Medicine, having authored 136 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (78 papers), Pluripotent Stem Cells Research (55 papers), Animal Genetics and Reproduction (53 papers), Sperm and Testicular Function (27 papers), Reproductive Physiology in Livestock (24 papers), CRISPR and Genetic Engineering (19 papers), Genetic and phenotypic traits in livestock (15 papers) and Renal and related cancers (13 papers). The work is most often cited by research in Reproductive Medicine (464 citations), Public Health, Environmental and Occupational Health (1.2k citations), Agronomy and Crop Science (321 citations), Genetics (774 citations) and Molecular Biology (935 citations). S. K. Singla has collaborated with scholars based in India, United Kingdom and Iran. Frequent co-authors include R. S. Manik, Manmohan Singh Chauhan, P. Palta, P. Palta, M. L. Madan, Naresh L. Selokar, Monika Saini, Manoj Kumar Singh, Aman George and Riaz Ahmad Shah. Their work appears in journals such as Theriogenology, Cellular Reprogramming, Reproduction Fertility and Development, Animal Reproduction Science and Reproduction in Domestic Animals.

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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