Goodwin G. Jinesh

1.2k total citations
32 papers, 973 citations indexed

About

Goodwin G. Jinesh is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Goodwin G. Jinesh has authored 32 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Oncology and 8 papers in Immunology. Recurrent topics in Goodwin G. Jinesh's work include Cancer Cells and Metastasis (7 papers), Bladder and Urothelial Cancer Treatments (6 papers) and Epigenetics and DNA Methylation (6 papers). Goodwin G. Jinesh is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Bladder and Urothelial Cancer Treatments (6 papers) and Epigenetics and DNA Methylation (6 papers). Goodwin G. Jinesh collaborates with scholars based in United States, India and Brazil. Goodwin G. Jinesh's co-authors include Ashish M. Kamat, Andrew S. Brohl, Ganiraju C. Manyam, Jing Wang, Swati Chauhan, Douglas D. Boyd, Santosh Chauhan, Srinivas K. Chunduru, Elsa R. Flores and Chinedu Mmeje and has published in prestigious journals such as Molecular Cell, PLoS ONE and Cancer Research.

In The Last Decade

Goodwin G. Jinesh

31 papers receiving 962 citations

Peers

Goodwin G. Jinesh
Comparison fields: 5 of 78
  • Molecular Biology 627
  • Oncology 305
  • Epidemiology 195
  • Cancer Research 162
  • Immunology 136
Replace Houjie Liang with:
Houjie Liang China
Doris Schneller Austria
Sean Garrison United States
Rumela Chakrabarti United States
Derek L. Dai Canada
Damien Giacchero France
Christopher M. Raskett United States
Dianhua Qiao United States
Qiuyang Chen China
Veerle Noë Belgium
Houjie Liang China View profile →
Citations per field, relative to Goodwin G. Jinesh
Goodwin G. Jinesh · 1×
Citations per year, relative to Goodwin G. Jinesh
Goodwin G. Jinesh · 1×

Countries citing papers authored by Goodwin G. Jinesh

Since Specialization
Citations

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

Fields of papers citing papers by Goodwin G. Jinesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Goodwin G. Jinesh. 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 Goodwin G. Jinesh. The network helps show where Goodwin G. Jinesh may publish in the future.

Co-authorship network of co-authors of Goodwin G. Jinesh

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 57
4 6
5 25
6 10
7 38
8 15
9 17
10 47
11 19
12 24
13 19
14 23
15 17
16 40
17 209
18 49
19 25
20 34

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026