Daniel R. Ram

681 citations
30 papers · 507 · h-index 14

Impact in

Papers in

    • Immune Cell Function and Interaction 14
    • T-cell and B-cell Immunology 7
    • Immune responses and vaccinations 2
    • Cytomegalovirus and herpesvirus research 4
    • Virology and Viral Diseases 2

Daniel R. Ram

29 papers receiving 497 citations

Peers

Daniel R. Ram
Comparison fields: 5 of 88
  • Virology 74
  • Computer Graphics and Computer-Aided Design 31
  • Immunology 162
  • Infectious Diseases 129
  • Cardiology and Cardiovascular Medicine 65
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Citations per year

Countries citing papers authored by Daniel R. Ram

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. 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 Daniel R. Ram. The network helps show where Daniel R. Ram may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201473
2 201573
3 201636
4 201834
5 201132
6 201832
7 201427
8 201424
9 200423
10 201718
11 201416
12 201916
13
Identification of a secreted fatty acid and retinol-binding protein (Hp-FAR-1) from Heligmosomoides polygyrus.
200916
14 201913
15 201811
16 201811
17 202110
18 201910
19 20229
20 20216

About Daniel R. Ram

Daniel R. Ram is a scholar working on Immunology, Epidemiology, Virology, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 507 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (7 papers), HIV Research and Treatment (6 papers), Cytomegalovirus and herpesvirus research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Viral Infections and Immunology Research (3 papers), Virology and Viral Diseases (2 papers) and Immune responses and vaccinations (2 papers). The work is most often cited by research in Virology (74 citations), Computer Graphics and Computer-Aided Design (31 citations), Immunology (162 citations), Infectious Diseases (129 citations) and Cardiology and Cardiovascular Medicine (65 citations). Daniel R. Ram has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include R. Keith Reeves, Cordelia Manickam, Spandan V. Shah, Ella Mendelson, Chenfanfu Jiang, Joseph Teran, Danit Sofer, Lester M. Shulman, Theodore Gast and Pirouz Kavehpour. Their work appears in journals such as Frontiers in Immunology, Journal of Virology, Eurosurveillance, Clinical Infectious Diseases and PLoS Pathogens.

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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