Godwin Job

660 citations
20 papers · 502 · h-index 12

Impact in

Papers in

    • Genomics and Chromatin Dynamics 6
    • RNA and protein synthesis mechanisms 3
    • Chromosomal and Genetic Variations 4
    • Plant Molecular Biology Research 2

Godwin Job

19 papers receiving 489 citations

Peers

Godwin Job
Comparison fields: 5 of 65
  • Microbiology 34
  • Immunology 99
  • Molecular Biology 327
  • Plant Science 126
  • Aging 4
Replace Andrea Peschel with:
Andrea Peschel Austria
H.E. Wyandt United States
Marianela Feliu United States
Thomas Döbel Germany
Lin Ni Japan
Xiaochen Yu China
Susan Franchuk Canada
David T. Fritz United States
Netta Golenberg United States
Tilman Schlunck Germany
Godwin Job relative to Andrea Peschel Austria Andrea Peschel's profile →
Citations per field
00.5×11.5×
Andrea Peschel · 1×
Citations per year

Countries citing papers authored by Godwin Job

Since Specialization
Citations

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

Fields of papers citing papers by Godwin Job

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Godwin Job, 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 Godwin Job Line = papers co-authored together Godwin Job links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200999
2 200764
3 201350
4 201646
5 200840
6 201135
7 201129
8 200427
9 201025
10 201421
11 200415
12 200514
13 200411
14 202310
15 202410
16 20233
17 20241
18 20241
19 20071
20 20250

About Godwin Job

Godwin Job is a scholar working on Molecular Biology, Plant Science, Immunology, Public Health, Environmental and Occupational Health and Microbiology, having authored 20 papers that have together received 502 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Chromosomal and Genetic Variations (4 papers), Reproductive tract infections research (3 papers), RNA and protein synthesis mechanisms (3 papers), Plant Molecular Biology Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Microbiology (34 citations), Immunology (99 citations), Molecular Biology (327 citations), Plant Science (126 citations) and Aging (4 citations). Godwin Job has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Janet F. Partridge, Sreenath Shanker, Thomas Schalch, Leemor Joshua‐Tor, Anthony A. Azenabor, Canan Kuscu, Brandon R. Lowe, Shoua Yang, Rajesh Kumar Yadav and John D. Mountz. Their work appears in journals such as The Journal of Immunology, Frontiers in Oncology, Molecular and Cellular Biology, Molecular Cell and Molecular and Cellular Biochemistry.

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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