Budiman Kharma

59 total papers · 765 total citations
12 papers, 572 citations indexed

About

Budiman Kharma is a scholar working on Oncology, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, Budiman Kharma has authored 12 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Reproductive Medicine and 4 papers in Molecular Biology. Recurrent topics in Budiman Kharma's work include Endometrial and Cervical Cancer Treatments (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Budiman Kharma is often cited by papers focused on Endometrial and Cervical Cancer Treatments (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Budiman Kharma collaborates with scholars based in Japan, United States and Canada. Budiman Kharma's co-authors include Masaki Mandai, Noriomi Matsumura, Junzo Hamanishi, Tsukasa Baba, Ikuo Konishi, Ken Yamaguchi, Kaoru Abiko, Ryusuke Murakami, Yumiko Yoshioka and Ayaka Yamamoto and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and British Journal of Cancer.

In The Last Decade

Budiman Kharma

12 papers receiving 565 citations

Author Peers

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

Author						Papers	Cites
Budiman Kharma	333	271	163	115	67	12	572
Claude Laplante	239 0.7×	203 0.7×	237 1.5×	148 1.3×	71 1.1×	12	576
Sterre T. Paijens	435 1.3×	316 1.2×	165 1.0×	64 0.6×	120 1.8×	12	698
Phil Rolland	227 0.7×	169 0.6×	189 1.2×	140 1.2×	88 1.3×	11	573
Véronique Cabaret	392 1.2×	149 0.5×	157 1.0×	32 0.3×	72 1.1×	20	585
Xin Lu	212 0.6×	135 0.5×	264 1.6×	117 1.0×	213 3.2×	20	580
Danyi Zhou	284 0.9×	119 0.4×	192 1.2×	44 0.4×	50 0.7×	14	564
Cristina Migali	374 1.1×	198 0.7×	91 0.6×	30 0.3×	64 1.0×	17	508
Cristina Mirantes	166 0.5×	141 0.5×	277 1.7×	62 0.5×	111 1.7×	17	590
Daniel S. Kong	224 0.7×	91 0.3×	339 2.1×	61 0.5×	109 1.6×	14	561
Marilisa Cargnelutti	219 0.7×	94 0.3×	270 1.7×	62 0.5×	132 2.0×	10	516

Countries citing papers authored by Budiman Kharma

Since Specialization

Citations

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

Fields of papers citing papers by Budiman Kharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Budiman Kharma

This figure shows the co-authorship network connecting the top 25 collaborators of Budiman Kharma. A scholar is included among the top collaborators of Budiman Kharma 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 Budiman Kharma. Budiman Kharma 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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