Yadunanda Kumar

1.7k total citations
19 papers, 1.4k citations indexed

About

Yadunanda Kumar is a scholar working on Molecular Biology, Microbiology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Yadunanda Kumar has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Microbiology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Yadunanda Kumar's work include Reproductive tract infections research (4 papers), Influenza Virus Research Studies (2 papers) and Respiratory viral infections research (2 papers). Yadunanda Kumar is often cited by papers focused on Reproductive tract infections research (4 papers), Influenza Virus Research Studies (2 papers) and Respiratory viral infections research (2 papers). Yadunanda Kumar collaborates with scholars based in United States, India and Singapore. Yadunanda Kumar's co-authors include Raphael H. Valdivia, Jordan L. Cocchiaro, Utpal Tatu, Elizabeth R. Fischer, Ted Hackstadt, Steven R. Tannenbaum, Cui Liang, Kris Spaeth, M. Arthur Moseley and Laura G. Dubois and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Yadunanda Kumar

19 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yadunanda Kumar United States 14 523 438 359 238 217 19 1.4k
Héctor A. Saka Argentina 20 533 1.0× 486 1.1× 479 1.3× 351 1.5× 301 1.4× 31 1.5k
M F Shaio Taiwan 17 301 0.6× 200 0.5× 148 0.4× 184 0.8× 129 0.6× 29 929
Stéphanie Seveau United States 26 872 1.7× 200 0.5× 194 0.5× 491 2.1× 153 0.7× 47 2.0k
Yasushi Kataoka Japan 28 581 1.1× 288 0.7× 165 0.5× 148 0.6× 226 1.0× 71 1.7k
Miguel Vargas Mexico 20 538 1.0× 144 0.3× 158 0.4× 222 0.9× 402 1.9× 65 1.5k
Elke K. H. Schweda Sweden 30 1.3k 2.6× 859 2.0× 704 2.0× 315 1.3× 129 0.6× 76 2.5k
Deborah A. O′Neil United Kingdom 19 764 1.5× 966 2.2× 174 0.5× 721 3.0× 166 0.8× 35 1.9k
Marco Soriani Italy 28 726 1.4× 417 1.0× 587 1.6× 243 1.0× 423 1.9× 59 2.2k
Christian Alexander Germany 14 424 0.8× 359 0.8× 350 1.0× 1.0k 4.3× 168 0.8× 31 1.7k

Countries citing papers authored by Yadunanda Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Yadunanda Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yadunanda Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Yadunanda Kumar. A scholar is included among the top collaborators of Yadunanda Kumar 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 Yadunanda Kumar. Yadunanda Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Kumar, Yadunanda, et al.. (2023). Brain Metastasis Tumor Detection using Image Segmentation and VGG16 Architecture. 150–155. 2 indexed citations
2.
Liang, Cui, Dahai Zheng, Yie Hou Lee, et al.. (2016). Metabolomics Investigation Reveals Metabolite Mediators Associated with Acute Lung Injury and Repair in a Murine Model of Influenza Pneumonia. Scientific Reports. 6(1). 26076–26076. 81 indexed citations
3.
Kumar, Yadunanda, Cui Liang, Gino V. Limmon, et al.. (2014). Molecular Analysis of Serum and Bronchoalveolar Lavage in a Mouse Model of Influenza Reveals Markers of Disease Severity That Can Be Clinically Useful in Humans. PLoS ONE. 9(2). e86912–e86912. 29 indexed citations
4.
Cui, Liang, Yie Hou Lee, Yadunanda Kumar, et al.. (2013). Serum Metabolome and Lipidome Changes in Adult Patients with Primary Dengue Infection. PLoS neglected tropical diseases. 7(8). e2373–e2373. 9 indexed citations
5.
Kumar, Yadunanda, Cui Liang, Bo Zheng, et al.. (2012). Serum Proteome and Cytokine Analysis in a Longitudinal Cohort of Adults with Primary Dengue Infection Reveals Predictive Markers of DHF. PLoS neglected tropical diseases. 6(11). e1887–e1887. 84 indexed citations
6.
Saka, Héctor A., J. Will Thompson, Yadunanda Kumar, et al.. (2011). Quantitative proteomics reveals metabolic and pathogenic properties of Chlamydia trachomatis developmental forms. Molecular Microbiology. 82(5). 1185–1203. 140 indexed citations
7.
Kumar, Yadunanda & Raphael H. Valdivia. (2009). Leading a Sheltered Life: Intracellular Pathogens and Maintenance of Vacuolar Compartments. Cell Host & Microbe. 5(6). 593–601. 120 indexed citations
8.
Cocchiaro, Jordan L., Yadunanda Kumar, Elizabeth R. Fischer, Ted Hackstadt, & Raphael H. Valdivia. (2008). Cytoplasmic lipid droplets are translocated into the lumen of the Chlamydia trachomatis parasitophorous vacuole. Proceedings of the National Academy of Sciences. 105(27). 9379–9384. 245 indexed citations
9.
Kumar, Yadunanda & Raphael H. Valdivia. (2008). Actin and Intermediate Filaments Stabilize the Chlamydia trachomatis Vacuole by Forming Dynamic Structural Scaffolds. Cell Host & Microbe. 4(2). 159–169. 162 indexed citations
10.
Kumar, Yadunanda & Raphael H. Valdivia. (2008). Reorganization of the host cytoskeleton by the intracellular pathogenChlamydia trachomatis. Communicative & Integrative Biology. 1(2). 175–177. 15 indexed citations
11.
Kumar, Yadunanda, Jordan L. Cocchiaro, & Raphael H. Valdivia. (2006). The Obligate Intracellular Pathogen Chlamydia trachomatis Targets Host Lipid Droplets. Current Biology. 16(16). 1646–1651. 173 indexed citations
12.
Spaeth, Kris, et al.. (2006). Multifunctional analysis of Chlamydia ‐specific genes in a yeast expression system. Molecular Microbiology. 60(1). 51–66. 88 indexed citations
13.
Jain, Samta, et al.. (2005). Proteomic analysis of urinary protein markers for accurate prediction of diabetic kidney disorder.. PubMed. 53. 513–20. 73 indexed citations
14.
Kumar, Yadunanda, et al.. (2004). ProteoMod: A new tool to quantitate protein post‐translational modifications. PROTEOMICS. 4(6). 1672–1683. 29 indexed citations
15.
Pillai, Beena, Jiyoti Verma, Princy Francis, et al.. (2003). Whole Genome Expression Profiles of Yeast RNA Polymerase II Core Subunit, Rpb4, in Stress and Nonstress Conditions. Journal of Biological Chemistry. 278(5). 3339–3346. 41 indexed citations
17.
Kumar, Yadunanda, et al.. (2003). Heat shock protein 70 as a biomarker of heat stress in a simulated hot cockpit.. PubMed. 74(7). 711–6. 5 indexed citations
18.
Kumar, Yadunanda, et al.. (2002). Evaluation of the role of serum leptin in hemodialysis patients. Indian Journal of Nephrology. 12(3). 69–69. 3 indexed citations
19.
Kumar, Yadunanda & Utpal Tatu. (2000). Induced Hsp70 is in small, cytoplasmic complexes in a cell culture model of renal ischemia: a comparative study with heat shock. Cell Stress and Chaperones. 5(4). 314–314. 4 indexed citations

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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