Sujit Saha

473 citations
38 papers · 305 · h-index 12

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 13
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Organ Transplantation Techniques and Outcomes 4

Sujit Saha

36 papers receiving 284 citations

Peers

Sujit Saha
Comparison fields: 5 of 75
  • Hepatology 67
  • Transplantation 22
  • Agronomy and Crop Science 58
  • Surgery 130
  • Genetics 68
Replace Iwao Ariyama with:
Iwao Ariyama Japan
Fernanda Fernandes Souza Brazil
Meghan Fuschino United States
Seizaburo Kashiwagi Japan
Iram Amin Pakistan
Ana Garcı́a-Dı́az United Kingdom
Maura Statzu Italy
L. Jeffers United States
R.N. Makroo India
Wang Jun-wei China
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Citations per field
00.5×9.7×
Iwao Ariyama · 1×
Citations per year

Countries citing papers authored by Sujit Saha

Since Specialization
Citations

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

Fields of papers citing papers by Sujit Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201731
2 201627
3 201926
4 197619
5 202017
6 201716
7 202016
8 202115
9 201913
10 201813
11 199612
12
Peritoneal lavage with metronidazole.
198511
13 202010
14 20199
15
Generation-wise genetic evaluation of various first lactation traits and herd life in Karan Fries cattle.
20108
16 20187
17
Effect of genetic and non-genetic factors on reproductive traits in Murrah buffaloes.
20006
18
Genomic prediction by single-step genomic BLUP using cow reference population in Holstein crossbred cattle in India
20185
19 20215
20 20204

About Sujit Saha

Sujit Saha is a scholar working on Genetics, Surgery, Agronomy and Crop Science, Epidemiology and Plant Science, having authored 38 papers that have together received 305 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (13 papers), Livestock Management and Performance Improvement (7 papers), Genetics and Plant Breeding (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), Liver Disease and Transplantation (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Effects of Environmental Stressors on Livestock (2 papers). The work is most often cited by research in Hepatology (67 citations), Transplantation (22 citations), Agronomy and Crop Science (58 citations), Surgery (130 citations) and Genetics (68 citations). Sujit Saha has collaborated with scholars based in India, Bangladesh and United Kingdom. Frequent co-authors include Arvinder S. Soin, Sanjay Kumar Yadav, Prashant Bhangui, Narendra S. Choudhary, Sanjiv Saigal, Amit Rastogi, Neeraj Saraf, Md. Taohidul Islam, MA Samad and Navin Kumar. Their work appears in journals such as Liver International, International Journal of Colorectal Disease, British journal of surgery, Kidney International Reports and Digestive Diseases and Sciences.

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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