Surendra Dasari

15.9k total citations · 2 hit papers
252 papers, 8.2k citations indexed

About

Surendra Dasari is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Surendra Dasari has authored 252 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Molecular Biology, 47 papers in Physiology and 37 papers in Oncology. Recurrent topics in Surendra Dasari's work include Amyloidosis: Diagnosis, Treatment, Outcomes (70 papers), Adipose Tissue and Metabolism (25 papers) and Multiple Myeloma Research and Treatments (22 papers). Surendra Dasari is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (70 papers), Adipose Tissue and Metabolism (25 papers) and Multiple Myeloma Research and Treatments (22 papers). Surendra Dasari collaborates with scholars based in United States, India and Canada. Surendra Dasari's co-authors include Jean‐Pierre Kocher, Liguo Wang, Hyun Jung Park, Wei Li, Shengqin Wang, K. Sreekumaran Nair, Angela Dispenzieri, Srinivasa R. Nagalla, Ian R. Lanza and Paul J. Kurtin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Surendra Dasari

231 papers receiving 8.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CPAT: Coding-Potential Assessment Tool using an alignment-free logistic regression model

2013 1.4k citations Surendra Dasari et al. profile →
Enhanced Protein Translation Underlies Improved Metabolic and Physical Adaptations to Different Exercise Training Modes in Young and Old Humans

2017 377 citations Surendra Dasari, S Manjunatha et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Surendra Dasari United States	48	5.2k	1.7k	1.3k	866	733	252	8.2k
Thomas Kislinger Canada	53	5.8k 1.1×	791 0.5×	1.5k 1.2×	1.5k 1.8×	614 0.8×	168	11.7k
Hermann-Josef Gröne Germany	62	5.0k 1.0×	1.1k 0.7×	942 0.7×	202 0.2×	776 1.1×	170	11.9k
Rong‐Fong Shen United States	36	5.2k 1.0×	652 0.4×	1.1k 0.8×	1.0k 1.2×	302 0.4×	96	7.0k
Henrik Vorum Denmark	41	3.7k 0.7×	649 0.4×	507 0.4×	458 0.5×	305 0.4×	221	7.2k
Belinda Willard United States	46	3.3k 0.6×	700 0.4×	634 0.5×	263 0.3×	594 0.8×	189	6.3k
Trairak Pisitkun Thailand	46	7.2k 1.4×	455 0.3×	1.6k 1.2×	820 0.9×	261 0.4×	168	9.1k
Martha Campbell‐Thompson United States	50	2.7k 0.5×	637 0.4×	477 0.4×	340 0.4×	653 0.9×	161	8.0k
Ann B. Kier United States	45	6.1k 1.2×	970 0.6×	726 0.6×	140 0.2×	1.0k 1.4×	157	9.7k
Hubert Hackl Austria	35	5.9k 1.1×	891 0.5×	2.6k 2.0×	151 0.2×	821 1.1×	169	11.9k
Juan Miguel Redondo Spain	51	3.8k 0.7×	617 0.4×	1.1k 0.8×	141 0.2×	510 0.7×	135	6.7k

Countries citing papers authored by Surendra Dasari

Since Specialization

Citations

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

Fields of papers citing papers by Surendra Dasari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surendra Dasari

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

All Works

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20 of 20 papers shown

Tekin, Burak, Andrew L. Folpe, Surendra Dasari, et al.. (2025). TFE3-rearranged ossifying fibromyxoid tumors are uniquely negative for glycoprotein non-metastatic melanoma protein B: A study of 13 TFE3-rearranged mesenchymal tumors. Human Pathology. 157. 105768–105768. 2 indexed citations

Wu, Joseph C., Patrick M. Vanderboom, Mindy Kohlhagen, et al.. (2025). B-123 Clinical Implication of Light Chain Fragmentation in Patients with Monoclonal Gammopathies. Clinical Chemistry. 71(Supplement_1). 1 indexed citations

Tekin, Burak, John C. Cheville, Fabrice Lucien, et al.. (2025). Biomarkers of response to antibody-drug conjugates (TROP2 and nectin-4) and the immune microenvironment (NKG7, PD-L1, and B7-H3) in penile squamous cell carcinoma. American Journal of Clinical Pathology. 163(6). 898–908. 2 indexed citations

Ravindran, Aishwarya, Liuyan Jiang, Gordon Ruan, et al.. (2025). PD-L1 expression and response to immune checkpoint inhibitor therapy in malignant histiocytic neoplasms. Leukemia & lymphoma. 66(14). 2675–2684.

Chiu, April, Surendra Dasari, Samih H. Nasr, et al.. (2024). Salivary gland amyloidosis: Proteomic identification and clinicopathologic characterization of 57 cases. Human Pathology. 151. 105628–105628. 1 indexed citations

Bernard, Cheryl E., Erik Jessen, Vernadette Simon, et al.. (2024). Protocol for isolating immune cells from human gastric muscularis propria for single-cell analysis. STAR Protocols. 5(3). 103258–103258. 1 indexed citations

Vrana, Julie A., Jason D. Theis, Surendra Dasari, et al.. (2024). A reliable clinical test for detection of membranous nephropathy antigens using laser microdissection and mass spectrometry. Kidney International. 106(5). 907–912. 8 indexed citations

Fayyaz, Ahmed, Larry J. Prokop, Katlyn E. Koepp, et al.. (2024). Pathophysiological insights into HFpEF from studies of human cardiac tissue. Nature Reviews Cardiology. 22(2). 90–104. 14 indexed citations

Wang, Qian, Vanessa Pazdernik, Dirk R. Larson, et al.. (2024). Comparison of 2 Free Light Chain Assays: Performance of the Free Light Chain Ratio as a Risk Factor for MGUS Progression. Clinical Chemistry. 70(10). 1268–1278.

10.

Hagen, Catherine E., Surendra Dasari, Jason D. Theis, et al.. (2023). Gastrointestinal amyloidosis: an often unexpected finding with systemic implications. Human Pathology. 139. 27–36. 6 indexed citations

11.

Vaubel, Rachael A., Rahul Kumar, Taylor M. Weiskittel, et al.. (2023). Genomic markers of recurrence risk in atypical meningioma following gross total resection. Neuro-Oncology Advances. 5(1). vdad004–vdad004. 15 indexed citations

12.

Willrich, Maria Alice V., Melissa R. Snyder, Surendra Dasari, et al.. (2023). Kappa Free Light Chain Drift Prompts the Need for a New Upper Limit of Normal Free Light Chain Ratio to Avoid an Epidemic of Kappa Light Chain Monoclonal Gammopathy of Undermined Significance. The Journal of Applied Laboratory Medicine. 8(4). 742–750. 5 indexed citations

13.

McKeon, Andrew, Connie Lesnick, Monica Buckley, et al.. (2023). Utility of Protein Microarrays for Detection of Classified and Novel Antibodies in Autoimmune Neurologic Disease. Neurology Neuroimmunology & Neuroinflammation. 10(5). 11 indexed citations

14.

Goyal, Gaurav, Jithma P. Abeykoon, Chen Dai, et al.. (2023). Long-term outcomes among adults with Langerhans cell histiocytosis. Blood Advances. 7(21). 6568–6578. 10 indexed citations

15.

Dasari, Surendra, et al.. (2022). Clinical Profile and Outcomes of Mechanically Ventilated Children in Pediatric Intensive Care Units - A Single Centre Prospective Study. International Journal of Science and Research (IJSR). 11(1). 1342–1347.

16.

Kohlhagen, Mindy, John R. Mills, Maria Alice V. Willrich, et al.. (2021). Clearing drug interferences in myeloma treatment using mass spectrometry. Clinical Biochemistry. 92. 61–66. 13 indexed citations

17.

Murray, David, Shaji Kumar, Robert A. Kyle, et al.. (2019). Detection and prevalence of monoclonal gammopathy of undetermined significance: a study utilizing mass spectrometry-based monoclonal immunoglobulin rapid accurate mass measurement. Blood Cancer Journal. 9(12). 102–102. 56 indexed citations

18.

Dasari, Surendra, Mariam P. Alexander, Julie A. Vrana, et al.. (2017). DnaJ Heat Shock Protein Family B Member 9 Is a Novel Biomarker for Fibrillary GN. Journal of the American Society of Nephrology. 29(1). 51–56. 71 indexed citations

19.

Kourelis, Taxiarchis, Surendra Dasari, Jason D. Theis, et al.. (2016). Clarifying immunoglobulin gene usage in systemic and localized immunoglobulin light-chain amyloidosis by mass spectrometry. Blood. 129(3). 299–306. 106 indexed citations

20.

Manjunatha, S, Klaus Distelmaier, Surendra Dasari, et al.. (2016). Functional and proteomic alterations of plasma high density lipoproteins in type 1 diabetes mellitus. Metabolism. 65(9). 1421–1431. 47 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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