Ramakumar Tummala

1.2k citations
22 papers · 1.0k · h-index 14

Impact in

Papers in

Ramakumar Tummala

22 papers receiving 1.0k citations

Peers

Ramakumar Tummala
Comparison fields: 5 of 72
  • Cancer Research 403
  • Pulmonary and Respiratory Medicine 354
  • Molecular Biology 650
  • Oncology 129
  • Endocrinology, Diabetes and Metabolism 59
Replace Yuanjie Niu with:
Yuanjie Niu China
Bojie Dai United States
Guangzhi Zhu China
Holger H.H. Erb Germany
Cai Bowen United States
Yunqian Pan United States
Jean‐Claude Cutz Canada
Hege Chen China
Praveen Kumar Korla Taiwan
Minja J. Pfeiffer Netherlands
Ramakumar Tummala relative to Yuanjie Niu China Yuanjie Niu's profile →
Citations per field
00.5×1.6×
Yuanjie Niu · 1×
Citations per year

Countries citing papers authored by Ramakumar Tummala

Since Specialization
Citations

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

Fields of papers citing papers by Ramakumar Tummala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ramakumar Tummala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ramakumar Tummala Line = papers co-authored together Ramakumar Tummala links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011161
2 2013156
3 2012147
4 2013105
5 2015101
6 201790
7 200359
8 200435
9 201325
10 201425
11 200724
12 200922
13 201019
14 200516
15 201112
16
Simultaneous modeling of concentration-effect and time-course patterns in gene expression data from microarrays.
200810
17 20159
18 20035
19 20132
20 20221

About Ramakumar Tummala

Ramakumar Tummala is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Surgery, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (9 papers), RNA Research and Splicing (5 papers), MicroRNA in disease regulation (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Cancer, Lipids, and Metabolism (2 papers), Genomics and Chromatin Dynamics (2 papers), Polyamine Metabolism and Applications (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (403 citations), Pulmonary and Respiratory Medicine (354 citations), Molecular Biology (650 citations), Oncology (129 citations) and Endocrinology, Diabetes and Metabolism (59 citations). Ramakumar Tummala has collaborated with scholars based in United States, Saudi Arabia and China. Frequent co-authors include Nagalakshmi Nadiminty, Allen C. Gao, Wei Lou, Christopher P. Evans, Chengfei Liu, Yezi Zhu, Satrajit Sinha, Xinbin Chen, Ralph W. deVere White and Joy C. Yang. Their work appears in journals such as The Journal of Urology, Molecular Cancer Therapeutics, Cancer Chemotherapy and Pharmacology, The Prostate and Gene.

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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