Prasad Koduru

6.2k total citations · 2 hit papers
134 papers, 4.5k citations indexed

About

Prasad Koduru is a scholar working on Hematology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Prasad Koduru has authored 134 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Hematology, 40 papers in Molecular Biology and 36 papers in Pathology and Forensic Medicine. Recurrent topics in Prasad Koduru's work include Acute Myeloid Leukemia Research (32 papers), Lymphoma Diagnosis and Treatment (32 papers) and Chronic Lymphocytic Leukemia Research (28 papers). Prasad Koduru is often cited by papers focused on Acute Myeloid Leukemia Research (32 papers), Lymphoma Diagnosis and Treatment (32 papers) and Chronic Lymphocytic Leukemia Research (28 papers). Prasad Koduru collaborates with scholars based in United States, India and China. Prasad Koduru's co-authors include M. Krishna Rao, Jonathan E. Kolitz, Steven L. Allen, Krzysztof Mrózek, Clara D. Bloomfield, Andrew J. Carroll, Adam C. Yopp, Charles J. Yeo, Mehri Mollaee and Kay‐Uwe Wagner and has published in prestigious journals such as Cell, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Prasad Koduru

129 papers receiving 4.4k 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.

Whole-exome sequencing of pancreatic cancer defines genetic diversity and therapeutic targets

2015 784 citations Prasad Koduru et al. profile →
EGFR-Mediated Beclin 1 Phosphorylation in Autophagy Suppression, Tumor Progression, and Tumor Chemoresistance

2013 425 citations Prasad Koduru et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prasad Koduru United States	25	1.8k	1.4k	1.1k	1.0k	952	134	4.5k
Shimin Hu United States	32	1.7k 1.0×	1.3k 0.9×	833 0.8×	857 0.8×	865 0.9×	160	4.1k
Mathijs Baens Belgium	29	1.5k 0.8×	959 0.7×	742 0.7×	595 0.6×	842 0.9×	51	3.7k
Beate Schultheis Germany	34	1.5k 0.8×	1.1k 0.8×	1.8k 1.7×	1.3k 1.2×	308 0.3×	85	4.3k
Paul K. Pattengale United States	24	2.5k 1.4×	2.1k 1.5×	827 0.8×	632 0.6×	704 0.7×	57	5.8k
Roderick A.F. MacLeod Germany	34	2.3k 1.3×	843 0.6×	865 0.8×	415 0.4×	592 0.6×	128	4.0k
Clayton A. Smith United States	35	2.7k 1.5×	1.1k 0.8×	2.9k 2.7×	1.1k 1.1×	366 0.4×	129	5.5k
Paola Ballerini France	31	2.5k 1.4×	1.4k 0.9×	2.1k 2.0×	627 0.6×	807 0.8×	78	4.6k
Daniele Caracciolo Italy	35	1.9k 1.0×	1.1k 0.8×	1.2k 1.2×	416 0.4×	878 0.9×	121	4.0k
John Anastasi United States	37	2.6k 1.4×	1.0k 0.7×	2.9k 2.7×	1.1k 1.0×	642 0.7×	97	6.0k
Sandeep S. Davé United States	28	1.8k 1.0×	1.5k 1.1×	416 0.4×	644 0.6×	1.3k 1.4×	93	4.0k

Countries citing papers authored by Prasad Koduru

Since Specialization

Citations

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

Fields of papers citing papers by Prasad Koduru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasad Koduru

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhang, Bo, Payal Kapur, Prasad Koduru, & Liwei Jia. (2024). Retroperitoneal Sarcomatoid Yolk Sac Tumor in a Chemotherapy-Naive Patient With Testicular Postpubertal Type Teratoma: A Rare Case Report With Emphasis on Molecular Features. International Journal of Surgical Pathology. 32(8). 1537–1543. 2 indexed citations

2.

Fuda, Franklin, Flavia Rosado, Samuel John, et al.. (2024). Clinicopathologic features of relapsed CD19(−) B‐ALL in CD19‐targeted immunotherapy: Biological insights into relapse and LILRB1 as a novel B‐cell marker for CD19(−) B lymphoblasts. International Journal of Laboratory Hematology. 46(3). 503–509. 1 indexed citations

3.

Chen, Weina, Adam Bagg, Prasad Koduru, et al.. (2023). Acute leukemias with complex karyotype show a similarly poor outcome independent of mixed, myeloid or lymphoblastic immunophenotype: A study from the Bone Marrow Pathology Group. Leukemia Research. 130. 107309–107309. 4 indexed citations

4.

García, Rolando, Prasad Koduru, Murat Ati̇ş, et al.. (2021). Identification of potential antiviral compounds against SARS-CoV-2 structural and non structural protein targets: A pharmacoinformatics study of the CAS COVID-19 dataset. Computers in Biology and Medicine. 133. 104364–104364. 9 indexed citations

5.

Murphy, Kathleen M., Kelley Carrick, Katja Gwin, et al.. (2021). Rare Complete Hydatidiform Mole With p57 Expression in Villous Mesenchyme: Case Report and Review of Discordant p57 Expression in Hydatidiform Moles. International Journal of Gynecological Pathology. 41(1). 45–50. 6 indexed citations

6.

Koduru, Prasad, et al.. (2021). Acute myeloid leukemia with RAM immunophenotype presenting with extensive mesenteric and retroperitoneal lymphadenopathy: A case report and review of the literature. SHILAP Revista de lepidopterología. 17. 100287–100287. 4 indexed citations

7.

Li, Hao‐Dong, Changzheng Lu, He Zhang, et al.. (2020). A PoleP286R mouse model of endometrial cancer recapitulates high mutational burden and immunotherapy response. JCI Insight. 5(14). 22 indexed citations

8.

Chen, Pu, Prasad Koduru, Robert J. Collins, et al.. (2016). CD25 Expression in B Lymphoblastic Leukemia/Lymphoma Predicts t(9;22)(q34;q11)/Philadelphia Chromosome Translocation (Ph) and Is Associated With Residual Disease in Ph-Negative Patients. American Journal of Clinical Pathology. 146(5). 632–638. 3 indexed citations

9.

Koduru, Prasad, et al.. (2015). Quantification of Human Epidermal Growth Factor Receptor 2 Immunohistochemistry Using the Ventana Image Analysis System. The American Journal of Surgical Pathology. 39(5). 624–631. 15 indexed citations

10.

Puliyappadamba, Vineshkumar Thidil, Sharmistha Chakraborty, Vamsidhara Vemireddy, et al.. (2013). EGFR wild type antagonizes EGFRvIII-mediated activation of Met in glioblastoma. Oncogene. 34(1). 129–134. 37 indexed citations

11.

Heerema, Nyla A., John C. Byrd, Prasad Koduru, et al.. (2010). Stimulation of chronic lymphocytic leukemia cells with CpG oligodeoxynucleotide gives consistent karyotypic results among laboratories: a CLL Research Consortium (CRC) Study. Cancer Genetics and Cytogenetics. 203(2). 134–140. 38 indexed citations

12.

Li, Lin, et al.. (2006). Serial cytogenetic alterations resulting in transformation of a low-grade follicular lymphoma to Burkitt lymphoma. Cancer Genetics and Cytogenetics. 170(2). 140–146. 7 indexed citations

13.

Messmer, Bradley T., Davorka Messmer, Steven L. Allen, et al.. (2005). In vivo measurements document the dynamic cellular kinetics of chronic lymphocytic leukemia B cells. Journal of Clinical Investigation. 115(3). 755–764. 21 indexed citations

14.

Messmer, Bradley T., Davorka Messmer, Steven L. Allen, et al.. (2005). In vivo measurements document the dynamic cellular kinetics of chronic lymphocytic leukemia B cells. Journal of Clinical Investigation. 115(3). 755–764. 439 indexed citations

15.

Qian, Lingmei, et al.. (1999). Cyclin D2 promoter disrupted by t(12;22)(p13;q11.2) during transformation of chronic lymphocytic leukaemia to non‐Hodgkin's lymphoma. British Journal of Haematology. 106(2). 477–485. 21 indexed citations

16.

Sun, Tsieh, Judith Brody, Myron Susin, et al.. (1993). Aggressive Natural Killer Cell Lymphoma/Leukemia. The American Journal of Surgical Pathology. 17(12). 1289–1299. 66 indexed citations

17.

Koduru, Prasad, Stuart M. Lichtman, Tsieh Sun, et al.. (1993). Serial phenotypic, cytogenetic and molecular genetic studies in Richter's syndrome: demonstration of lymphoma development from the chronic lymphocytic leukaemia cells. British Journal of Haematology. 85(3). 613–616. 28 indexed citations

18.

Chaganti, RS, Prasad Koduru, Ranajit Chakraborty, & Walter B. Jones. (1990). Genetic origin of a trophoblastic choriocarcinoma.. PubMed. 50(19). 6330–3. 15 indexed citations

19.

Koduru, Prasad & R. S. K. Chaganti. (1989). Meiotic chromosome segregation in human t(11;22)(q23;q11) carriers: a theoretical consideration. Genome. 32(1). 24–29. 4 indexed citations

20.

Chaganti, R. S. K., I. Balazs, S.C. Jhanwar, et al.. (1986). The cellular homologue of the transforming gene of SKV avian retrovirus maps to human chromosome region 1q22→q24. Cytogenetic and Genome Research. 43(3-4). 181–186. 41 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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