Srila Gopal

658 total citations
27 papers, 487 citations indexed

About

Srila Gopal is a scholar working on Hematology, Genetics and Cell Biology. According to data from OpenAlex, Srila Gopal has authored 27 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hematology, 13 papers in Genetics and 6 papers in Cell Biology. Recurrent topics in Srila Gopal's work include Hemoglobinopathies and Related Disorders (8 papers), Hemophilia Treatment and Research (6 papers) and Iron Metabolism and Disorders (4 papers). Srila Gopal is often cited by papers focused on Hemoglobinopathies and Related Disorders (8 papers), Hemophilia Treatment and Research (6 papers) and Iron Metabolism and Disorders (4 papers). Srila Gopal collaborates with scholars based in United States, Denmark and India. Srila Gopal's co-authors include Bruce Furie, Barbara C. Furie, Freda Passam, Jack D. Stopa, Robert Flaumenhaft, Lin Lin, Mingdong Huang, Anish V. Sharda, Gagandeep Kang and Lola Bellido‐Martín and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Journal of Thrombosis and Haemostasis.

In The Last Decade

Srila Gopal

21 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Srila Gopal United States 10 129 128 92 88 52 27 487
Jian‐She Wang China 20 58 0.4× 68 0.5× 23 0.3× 235 2.7× 34 0.7× 104 1.3k
Egarit Noulsri Thailand 13 42 0.3× 41 0.3× 203 2.2× 216 2.5× 58 1.1× 50 695
Norman Maldonado Colombia 12 25 0.2× 48 0.4× 92 1.0× 68 0.8× 35 0.7× 54 526
Shuangning Ding China 10 29 0.2× 58 0.5× 19 0.2× 125 1.4× 43 0.8× 13 565
Hlosukwazi Khumalo Zimbabwe 12 59 0.5× 210 1.6× 345 3.8× 54 0.6× 13 0.3× 18 625
C. Camarena Spain 18 16 0.1× 78 0.6× 38 0.4× 69 0.8× 23 0.4× 45 1.2k
Thokozile Saungweme Zimbabwe 10 59 0.5× 189 1.5× 305 3.3× 48 0.5× 7 0.1× 15 506
Iraj Asvadi Kermani Iran 13 34 0.3× 19 0.1× 32 0.3× 103 1.2× 30 0.6× 57 647
Emer Kelly Ireland 8 22 0.2× 47 0.4× 42 0.5× 102 1.2× 111 2.1× 9 495
Ruijuan Sun China 8 23 0.2× 17 0.1× 85 0.9× 127 1.4× 44 0.8× 37 636

Countries citing papers authored by Srila Gopal

Since Specialization
Citations

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

Fields of papers citing papers by Srila Gopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srila Gopal

This figure shows the co-authorship network connecting the top 25 collaborators of Srila Gopal. A scholar is included among the top collaborators of Srila Gopal 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 Srila Gopal. Srila Gopal 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
1.
Xu, Julia, Enrico M. Novelli, Andreas Glenthøj, et al.. (2024). Results from a Phase 1 Study to Assess the Safety, Tolerability, Pharmacokinetics, and Pharmacodynamics of Tebapivat (AG-946) in Patients with Sickle Cell Disease. Blood. 144(Supplement 1). 2496–2496. 2 indexed citations
2.
3.
4.
Chousal, Jennifer N., et al.. (2024). Hemolysis due to anti-IH in a patient with beta-thalassemia and Mycoplasma pneumoniae infection. Immunohematology. 40(4). 139–144.
5.
Muñoz, Carlos, et al.. (2023). The Effects of Apohemoglobin-Haptoglobin on Heme-Induced Coagulation. Blood. 142(Supplement 1). 1097–1097.
6.
Gopal, Srila, et al.. (2023). Real-World Data of Crizanlizumab in Sickle Cell Disease: A Single-Center Analysis. Journal of Hematology. 12(3). 105–108. 6 indexed citations
7.
Lebensburger, Jeffrey D., et al.. (2023). Burden of Chronic Kidney Disease in Californians with Sickle Cell Disease. Blood. 142(Supplement 1). 3890–3890.
8.
Gopal, Srila, et al.. (2022). Patient‐derived assessment tool using musculoskeletal ultrasound for validation of haemarthrosis. Haemophilia. 28(5). 842–848. 3 indexed citations
9.
Cunard, Robyn, et al.. (2022). Comprehensive guide to managing a chronic automated red cell exchange program in sickle cell disease. Journal of Clinical Apheresis. 37(5). 497–506. 2 indexed citations
10.
Gopal, Srila, R. F. W. Barnes, Tudor Hughes, et al.. (2021). Systemic vascular basement membrane markers linked to synovial vascular remodeling are biomarkers of hemarthrosis in patients with hemophilia. Journal of Thrombosis and Haemostasis. 19(5). 1200–1211. 9 indexed citations
11.
Waheed, Anem, et al.. (2020). Implementation and impact of a multidisciplinary coagulation factor stewardship program at an academic medical center. Journal of Thrombosis and Thrombolysis. 50(3). 715–717. 3 indexed citations
12.
Wyseure, Tine, Srila Gopal, Chanond A. Nasamran, et al.. (2019). Mechanisms of vascular permeability and remodeling associated with hemarthrosis in factor VIII‐deficient mice. Journal of Thrombosis and Haemostasis. 17(11). 1815–1826. 14 indexed citations
13.
Gopal, Srila, R. F. W. Barnes, Doris Quon, et al.. (2019). Blood pressure in haemophilia and its relation to clotting factor usage. 6(1). 42–50. 2 indexed citations
14.
Iyú, David, Freda Passam, Jack D. Stopa, et al.. (2018). Protein disulfide isomerase regulation by nitric oxide maintains vascular quiescence and controls thrombus formation. Journal of Thrombosis and Haemostasis. 16(11). 2322–2335. 35 indexed citations
15.
Gopal, Srila, Qing Lu, Wendy Baur, et al.. (2017). Impact of Tyrosine Kinase Inhibitors Used in Chronic Myeloid Leukemia on Signaling and Epigenetics in Endothelial Cells. Blood. 130. 2296–2296. 1 indexed citations
16.
Sharda, Anish V., Sarah H. Kim, Reema Jasuja, et al.. (2015). Defective PDI release from platelets and endothelial cells impairs thrombus formation in Hermansky-Pudlak syndrome. Blood. 125(10). 1633–1642. 54 indexed citations
17.
Passam, Freda, Lin Lin, Srila Gopal, et al.. (2015). Both platelet- and endothelial cell–derived ERp5 support thrombus formation in a laser-induced mouse model of thrombosis. Blood. 125(14). 2276–2285. 70 indexed citations
18.
Sudarsanam, Thambu David, Jacob John, Gagandeep Kang, et al.. (2011). Pilot randomized trial of nutritional supplementation in patients with tuberculosis and HIV–tuberculosis coinfection receiving directly observed short‐course chemotherapy for tuberculosis. Tropical Medicine & International Health. 16(6). 699–706. 44 indexed citations
19.
Gopal, Srila, et al.. (2009). Study of water supply & sanitation practices in India using geographic information systems: some design & other considerations in a village setting.. PubMed. 129(3). 233–41. 23 indexed citations
20.
Banda, Kalyan, et al.. (2007). Water handling, sanitation and defecation practices in rural southern India: a knowledge, attitudes and practices study. Transactions of the Royal Society of Tropical Medicine and Hygiene. 101(11). 1124–1130. 103 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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