Ram Kalpatthi

79 total papers · 2.0k total citations
49 papers, 836 citations indexed

About

Ram Kalpatthi is a scholar working on Hematology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ram Kalpatthi has authored 49 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Hematology, 28 papers in Genetics and 14 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ram Kalpatthi's work include Hemoglobinopathies and Related Disorders (28 papers), Iron Metabolism and Disorders (15 papers) and Blood groups and transfusion (15 papers). Ram Kalpatthi is often cited by papers focused on Hemoglobinopathies and Related Disorders (28 papers), Iron Metabolism and Disorders (15 papers) and Blood groups and transfusion (15 papers). Ram Kalpatthi collaborates with scholars based in United States, Lebanon and Switzerland. Ram Kalpatthi's co-authors include Winfred C. Wang, Ibrahim F. Shatat, Scott T. Miller, Russell E. Ware, Sherron M. Jackson, Bruce Thompson, James B. Bussel, Rathi V. Iyer, Courtney D. Thornburg and Zhaoyu Luo and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PEDIATRICS.

In The Last Decade

Ram Kalpatthi

46 papers receiving 822 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ram Kalpatthi 625 607 222 85 54 49 836
Phu-Quoc Lê 459 0.7× 410 0.7× 207 0.9× 44 0.5× 86 1.6× 45 735
Zahra Pakbaz 620 1.0× 741 1.2× 180 0.8× 34 0.4× 59 1.1× 67 864
Liana Cuccia 527 0.8× 624 1.0× 105 0.5× 58 0.7× 50 0.9× 45 808
L. W. Diggs 538 0.9× 760 1.3× 177 0.8× 59 0.7× 154 2.9× 37 996
Trisha E. Wong 527 0.8× 452 0.7× 122 0.5× 65 0.8× 141 2.6× 27 840
Farrukh Shah 537 0.9× 621 1.0× 110 0.5× 22 0.3× 47 0.9× 52 885
Michael Angastiniotis 668 1.1× 798 1.3× 224 1.0× 23 0.3× 88 1.6× 45 943
Lee Hilliard 477 0.8× 579 1.0× 160 0.7× 41 0.5× 71 1.3× 54 905
Payal Desai 492 0.8× 591 1.0× 153 0.7× 35 0.4× 97 1.8× 74 898
Iheanyi Okpala 545 0.9× 720 1.2× 131 0.6× 38 0.4× 163 3.0× 45 856

Countries citing papers authored by Ram Kalpatthi

Since Specialization
Citations

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

Fields of papers citing papers by Ram Kalpatthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ram Kalpatthi

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

All Works

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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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