Sanjay K. Nigám

19.8k citations
238 papers · 15.4k indexed · 3 hit papers · h-index 73
Topics
Renal and related cancers (65 papers)Drug Transport and Resistance Mechanisms (63 papers)Metabolism and Genetic Disorders (26 papers)
Partner nations
United StatesIndiaJapan

In The Last Decade

Sanjay K. Nigám

232 papers receiving 15.1k citations

Hit Papers

Eya protein phosphatase activity regulates Six1–Dach–Eya ...2003202620102018200320142014100200300400500

Peers

Sanjay K. Nigám
Comparison fields: 5 of 163
  • Molecular Biology 8.5k
  • Oncology 3.7k
  • Pediatrics, Perinatology and Child Health 2.2k
  • Surgery 2.0k
  • Cell Biology 1.8k
Replace Hiroshi Suzuki with:
Hiroshi Suzuki Japan
Nobuyo Maeda United States
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Raymond C. Harris United States
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Yoshio Yazaki Japan
Bernhard Brüne Germany
Robert E. Gerszten United States
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Sanjay K. Nigám relative to Hiroshi Suzuki Japan Hiroshi Suzuki's profile →
Citations per field
00.5×1.5×1.8×
Hiroshi Suzuki · 1×
Citations per year

Countries citing papers authored by Sanjay K. Nigám

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay K. Nigám

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay K. Nigám

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay K. Nigám. A scholar is included among the top collaborators of Sanjay K. Nigám based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sanjay K. Nigám. Sanjay K. Nigám is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 6
3 5
4 39
5 2
6 57
7 0
8 19
9
Clinico-Pathological Spectrum of benign Breast Diseases in & around Kanpur
1
10 15
11
Diagnostic Accuracy of Squash Smear Technique in Brain Tumours
1
12 28
13 42
14 82
15 23
16 39
17 100
18 73
19 22
20
Average Anisotropy Characteristics of High Energy Cosmic Ray Particles Approaching Solar Minimum
1

About Sanjay K. Nigám

Sanjay K. Nigám is a scholar working on Clinical Biochemistry, Biochemistry and Pharmacology, having authored 238 papers that have together received 15.4k indexed citations. Recurring topics across this work include Renal and related cancers (65 papers), Drug Transport and Resistance Mechanisms (63 papers) and Metabolism and Genetic Disorders (26 papers). The work is most often cited by research in Nephrology (1.6k citations), Oncology (3.7k citations) and Clinical Biochemistry (910 citations). Sanjay K. Nigám has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Kevin T. Bush, Robert O. Stuart, Hiroyuki Sakurai, Wei Wu, Satish A. Eraly, Tatsuo Tsukamoto, Bradley M. Denker, Vibha Bhatnagar, Wilfred Lieberthal and Elvino José Guardão Barros. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of 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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