Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Capitalism and Underdevelopment in Latin America
19731.3k citationsNagesh Ram, André Gunder FrankSocial Scientistprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Nagesh Ram'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 Nagesh Ram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nagesh Ram more than expected).
This network shows the impact of papers produced by Nagesh Ram. 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 Nagesh Ram. The network helps show where Nagesh Ram may publish in the future.
Co-authorship network of co-authors of Nagesh Ram
This figure shows the co-authorship network connecting the top 25 collaborators of Nagesh Ram.
A scholar is included among the top collaborators of Nagesh Ram 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 Nagesh Ram. Nagesh Ram is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ram, Nagesh, et al.. (2014). Reproductive biology of Macrobrachium lar in Andaman Islands. Eprints@CMFRI Open Access Institutional Repository (Central Marine Fisheries Research Institute).1 indexed citations
5.
Ram, Nagesh, et al.. (2014). Re productive biology of Macrobrachium lar (fabricius, 1798) in Andaman Islands.7 indexed citations
6.
Geetha, S., et al.. (2014). Microbiological Examination of Three Types of Common Edible Marine Fishes from Visakhapatnam Fishing Harbour, East Coast of India.2 indexed citations
7.
Roy, Suvra, et al.. (2013). Post-tsunami abundance of Clarias batrachus and Heteropneuastes fossilis in Andaman and Nicobar Islands.. JOURNAL OF EXPERIMENTAL ZOOLOGY INDIA. 16(2). 491–494.
8.
Ram, Nagesh, et al.. (2013). Food and feeding habits of Macrobrachium lar (Decapoda, Palaemonidae) from Andaman and Nicobar Islands, India. Indian Journal of Fisheries. 60(4).8 indexed citations
9.
Ram, Nagesh, et al.. (2013). Morphometric relationships of the monkey river prawn Macrobrachium lar (Fabricius, 1798) (Decapoda, Palaemonidae) from the Andaman islands. Indian Journal of Fisheries. 60(2).7 indexed citations
10.
Ram, Nagesh, et al.. (2012). Length-weight relationship of Macrobrachium lar (Fabricius, 1798), an endemic freshwater prawn in streams and ponds of Andaman and Nicobar Islands. Indian Journal of Fisheries. 59(4).2 indexed citations
11.
Shome, Bibek Ranjan, et al.. (1999). Study of virulence factors of Aeromonas hydrophila isolates causing acute abdominal dropsy and ulcerative diseases in Indian major carps. Indian Journal of Fisheries. 46(2). 133–140.6 indexed citations
12.
Ram, Nagesh. (1999). Getting off the tiger. Bulletin of Concerned Asian Scholars. 31(2). 37–43.
13.
Ram, Nagesh. (1999). Riding the nuclear tiger. Medical Entomology and Zoology.1 indexed citations
Ram, Nagesh & André Gunder Frank. (1973). Capitalism and Underdevelopment in Latin America. Social Scientist. 1(7). 73–73.1284 indexed citations breakdown →
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.