PARSHU RAM

670 citations
15 papers · 573 · h-index 9

Impact in

Papers in

PARSHU RAM

15 papers receiving 521 citations

Peers

PARSHU RAM
Comparison fields: 5 of 69
  • Nephrology 118
  • Endocrinology, Diabetes and Metabolism 200
  • Obstetrics and Gynecology 36
  • Pharmacy 16
  • Public Health, Environmental and Occupational Health 82
Replace Najmul Islam with:
Najmul Islam Pakistan
Krista Lundelin Spain
Chau‐Ching Lin Taiwan
Cassandra Claire Soo South Africa
Jaime Eduardo Villena Chávez Peru
Freedom Mukomana South Africa
Ritu Karoli India
Stavros I. Pappas Greece
M. M. Kerr United Kingdom
Jaweed Akhter Pakistan
PARSHU RAM relative to Najmul Islam Pakistan Najmul Islam's profile →
Citations per field
00.5×2×3×4×4.7×
Najmul Islam · 1×
Citations per year

Countries citing papers authored by PARSHU RAM

Since Specialization
Citations

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

Fields of papers citing papers by PARSHU RAM

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1983187
2 1988138
3 1984100
4 199635
5 198123
6 199617
7 199714
8 198513
9 198213
10 19859
11 19897
12 19886
13 19886
14 19824
15 19871

About PARSHU RAM

PARSHU RAM is a scholar working on Organizational Behavior and Human Resource Management, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Parasitology and Obstetrics and Gynecology, having authored 15 papers that have together received 573 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Global Public Health Policies and Epidemiology (4 papers), Cardiovascular Health and Risk Factors (3 papers), Gestational Diabetes Research and Management (2 papers), Hepatitis C virus research (2 papers), Leptospirosis research and findings (2 papers), Cardiovascular Effects of Exercise (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Nephrology (118 citations), Endocrinology, Diabetes and Metabolism (200 citations), Obstetrics and Gynecology (36 citations), Pharmacy (16 citations) and Public Health, Environmental and Occupational Health (82 citations). PARSHU RAM has collaborated with scholars based in Australia, Finland and New Caledonia. Frequent co-authors include Paul Zimmet, Hilary O.M. King, Richard J. Taylor, Lacey Raper, David Hunt, Graeme Sloman, Eva Wolf, Jaakko Tuomilehto, Richard Taylor and Gary K. Dowse. Their work appears in journals such as Diabetes Research and Clinical Practice, American Journal of Epidemiology, Diabetologia, Diabetic Medicine and Infection and Immunity.

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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