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.
Tumor extracellular vesicle–derived PD-L1 promotes T cell senescence through lipid metabolism reprogramming
202524 citationsFeiya Ma, Xia Liu et al.Science Translational Medicineprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of C.F. Huffman'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 C.F. Huffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.F. Huffman more than expected).
This network shows the impact of papers produced by C.F. Huffman. 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 C.F. Huffman. The network helps show where C.F. Huffman may publish in the future.
Co-authorship network of co-authors of C.F. Huffman
This figure shows the co-authorship network connecting the top 25 collaborators of C.F. Huffman.
A scholar is included among the top collaborators of C.F. Huffman 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 C.F. Huffman. C.F. Huffman 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
1.
Ma, Feiya, Xia Liu, Tao Yan, et al.. (2025). Tumor extracellular vesicle–derived PD-L1 promotes T cell senescence through lipid metabolism reprogramming. Science Translational Medicine. 17(785). eadm7269–eadm7269.24 indexed citations breakdown →
2.
Brown, L.D., C. A. Lassiter, & C.F. Huffman. (1963). The nutritive value of artificially-dehydrated alfalfa pellets for dairy cattle.. 45. 396–401.1 indexed citations
3.
Brown, L.D., et al.. (1960). Supplemental value of dehydrated alfalfa pellets for milking cows fed a high corn silage-timothy hay ration.. Journal of Dairy Science. 43(6).1 indexed citations
4.
Huffman, C.F., C.W. Duncan, & S. T. Dexter. (1960). Corn grain and stalks (hay-equivalent) in corn silages obtained from random samples.. 42(4). 801–806.1 indexed citations
Emery, R.S., Charles Kent Smith, & C.F. Huffman. (1958). Feeding penicillin for control of bloat in grazing cattle, and its effect on milk production.. 40. 460–467.6 indexed citations
9.
Lassiter, C. A., et al.. (1957). Effect of various protein levels on milk production, body weight changes, and metabolism of lactating dairy cows.. 40. 59–64.3 indexed citations
10.
Huffman, C.F., et al.. (1957). The digestibility and feeding value of Ladino clover silage for dairy cattle.. 39. 444–450.1 indexed citations
11.
Huffman, C.F., et al.. (1956). Grain-equivalent value of prebud alfalfa hay and alfalfa-rye-grass silage in respect to milk production.. 39. 241–247.4 indexed citations
Huffman, C.F., S. T. Dexter, & C.W. Duncan. (1954). The feeding value of pea and oat silage for dairy cows.. 36. 298–304.3 indexed citations
15.
Huffman, C.F. & C.W. Duncan. (1954). Corn silage as a source of the unidentified grain factor(s) needed for milk production.. 37. 23–26.3 indexed citations
Huffman, C.F., et al.. (1951). Ballast" and calculated net energy as related to the unidentified factor(s) needed to balance the total digestible nutrients in roughage.. Journal of Dairy Science. 34. 491–492.2 indexed citations
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.