Premlata Kumar

660 citations
11 papers · 566 indexed · h-index 10

Impact in

Papers in

    • Signaling Pathways in Disease 5
    • Heat shock proteins research 3
    • Ion channel regulation and function 1
    • Reproductive System and Pregnancy 3
    • Toxin Mechanisms and Immunotoxins 2

Premlata Kumar

11 papers receiving 564 citations

Peers

Premlata Kumar
Comparison fields: 5 of 73
  • Obstetrics and Gynecology 125
  • Cancer Research 132
  • Immunology 135
  • Genetics 170
  • Molecular Biology 318
Replace Kang Z. Liu with:
Kang Z. Liu United States
Sheila C. Boddy United Kingdom
A. W. Brandenberger Switzerland
Robert Benveniste United States
Adriana C. Rodriguez United States
Masakazu Doshida Japan
Liesbeth Clinckemalie Belgium
R. Knauthe Germany
Mingjuan Xu China
H Iwasaki Japan
Premlata Kumar relative to Kang Z. Liu United States Kang Z. Liu's profile →
Citations per field
00.5×3.5×
Kang Z. Liu · 1×
Citations per year

Countries citing papers authored by Premlata Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Premlata Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2013140
2 2007118
3 200166
4 200256
5 200953
6 201145
7 201329
8 201423
9 200116
10 200116
11 19974

About Premlata Kumar

Premlata Kumar is a scholar working on Molecular Biology, Immunology, Genetics, Obstetrics and Gynecology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 566 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (5 papers), Estrogen and related hormone effects (4 papers), Reproductive System and Pregnancy (3 papers), Pregnancy and preeclampsia studies (3 papers), Heat shock proteins research (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), MicroRNA in disease regulation (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Obstetrics and Gynecology (125 citations), Cancer Research (132 citations), Immunology (135 citations), Genetics (170 citations) and Molecular Biology (318 citations). Premlata Kumar has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Carole R. Mendelson, Yanmin Luo, Carmen M. Tudela, Bryan K. Ward, Thomas Ratajczak, Rodney F. Minchin, Amrita Kamat, Peter J. Mark, Gregory G. Tall and Susanne M. Mumby. Their work appears in journals such as Molecular Endocrinology, Chromosome Research, Cell Stress and Chaperones, Biochemical and Biophysical Research Communications and Journal of Biological Chemistry.

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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