Tanu Goyal

625 total citations
10 papers, 488 citations indexed

About

Tanu Goyal is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Tanu Goyal has authored 10 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Oncology. Recurrent topics in Tanu Goyal's work include Lymphoma Diagnosis and Treatment (3 papers), Acute Myeloid Leukemia Research (2 papers) and Viral-associated cancers and disorders (2 papers). Tanu Goyal is often cited by papers focused on Lymphoma Diagnosis and Treatment (3 papers), Acute Myeloid Leukemia Research (2 papers) and Viral-associated cancers and disorders (2 papers). Tanu Goyal collaborates with scholars based in United States, Australia and China. Tanu Goyal's co-authors include Jawahar L. Mehta, Sona Mitra, Christine Schmotzer, Magomed Khaidakov, Xianwei Wang, Zufeng Ding, Sandeep Singla, Shijie Liu, Jingjun Lü and Zheng Jin Tu and has published in prestigious journals such as Toxicology and Applied Pharmacology, American Journal of Clinical Pathology and Haematologica.

In The Last Decade

Tanu Goyal

10 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanu Goyal United States 9 207 128 78 64 64 10 488
Е. В. Герасимова Russia 9 186 0.9× 181 1.4× 64 0.8× 72 1.1× 85 1.3× 53 536
Guoping Ma China 11 145 0.7× 218 1.7× 139 1.8× 58 0.9× 46 0.7× 25 604
Luigi Tucci Italy 15 104 0.5× 193 1.5× 62 0.8× 65 1.0× 39 0.6× 34 731
Wei-Gen Li United States 8 184 0.9× 185 1.4× 53 0.7× 45 0.7× 78 1.2× 8 537
Xuemei Xian China 3 244 1.2× 278 2.2× 91 1.2× 116 1.8× 110 1.7× 8 650
Ziyang Cui China 3 254 1.2× 266 2.1× 94 1.2× 94 1.5× 100 1.6× 4 668
Besa Emini Veseli Belgium 8 224 1.1× 240 1.9× 141 1.8× 95 1.5× 125 2.0× 10 660
S Formisano Italy 10 128 0.6× 145 1.1× 92 1.2× 67 1.0× 29 0.5× 24 469
Mathias M. Mueller Austria 11 97 0.5× 165 1.3× 65 0.8× 38 0.6× 71 1.1× 16 582
Melissa E. MacDonald Canada 13 92 0.4× 172 1.3× 176 2.3× 65 1.0× 134 2.1× 22 528

Countries citing papers authored by Tanu Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Tanu Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanu Goyal

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

All Works

10 of 10 papers shown
1.
Goyal, Tanu, Zheng Jin Tu, Zhen Wang, & James R. Cook. (2021). Clinical and Pathologic Spectrum ofDDX41-Mutated Hematolymphoid Neoplasms. American Journal of Clinical Pathology. 156(5). 829–838. 14 indexed citations
2.
Goyal, Tanu, Sarah L. Ondrejka, Juraj Bodo, Lisa Durkin, & Eric D. Hsi. (2020). Lack of activation-induced cytidine deaminase expression in in situ follicular neoplasia. Haematologica. 106(4). 1212–1215. 2 indexed citations
3.
Goyal, Tanu, Beenu Thakral, Sa A. Wang, et al.. (2017). T-Cell Large Granular Lymphocytic Leukemia and Coexisting B-Cell Lymphomas. American Journal of Clinical Pathology. 149(2). 164–171. 13 indexed citations
4.
Meyerson, Howard, et al.. (2015). CD1c(+) myeloid dendritic cells in myeloid neoplasia. Cytometry Part B Clinical Cytometry. 90(4). 337–348. 12 indexed citations
5.
Goyal, Tanu & Christine Schmotzer. (2015). Validation of Hemolysis Index Thresholds Optimizes Detection of Clinically Significant Hemolysis. American Journal of Clinical Pathology. 143(4). 579–583. 44 indexed citations
6.
Wang, Xianwei, Jingjun Lü, Magomed Khaidakov, et al.. (2012). Aspirin suppresses cardiac fibroblast proliferation and collagen formation through downregulation of angiotensin type 1 receptor transcription. Toxicology and Applied Pharmacology. 259(3). 346–354. 31 indexed citations
7.
Goyal, Tanu, Sona Mitra, Magomed Khaidakov, et al.. (2012). Current Concepts of the Role of Oxidized LDL Receptors in Atherosclerosis. Current Atherosclerosis Reports. 14(2). 150–159. 99 indexed citations
8.
Mitra, Sona, Xianwei Wang, Magomed Khaidakov, et al.. (2012). Aspirin Downregulates Angiotensin Type 1 Receptor Transcription Implications in Capillary Formation From Endothelial Cells. Journal of Cardiovascular Pharmacology. 60(2). 187–192. 8 indexed citations
9.
Wang, Xianwei, Jingjun Lü, Magomed Khaidakov, et al.. (2012). Delineation of the effects of angiotensin type 1 and 2 receptors on HL-1 cardiomyocyte apoptosis. APOPTOSIS. 17(8). 908–915. 16 indexed citations
10.
Mitra, Sona, Tanu Goyal, & Jawahar L. Mehta. (2011). Oxidized LDL, LOX-1 and Atherosclerosis. Cardiovascular Drugs and Therapy. 25(5). 419–429. 249 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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